Analysis of Factors that cause Software Project Time Overrun

Analysis of Software project time overrun

Analysis of factors that cause Software Project Time Overrun A dissertation submitted in partial fulfillment of the requirements for the award of MBA Degree of Bangalore University.

Analysis of Software project time overrun

DECLARATION

I hereby declare that the research work embodied in the dissertation entitled,

“Analysis

of

factors

that

cause

Software Project Time Overrun�, has been carried out by me under the guidance and supervision

of

Prof. Rathnakar

Acharya ,Alliance Business Academy, Bangalore.

I also declare that this dissertation has not been submitted to any University/Institution elsewhere for the award of any Degree/ Diploma Degree/Diploma.

Place: Bangalore Date:

(K.Hemalatha)

Analysis of Software project time overrun

CERTIFICATE I hereby certify that the research work embodied in the dissertation entitled, “Analysis of factors that cause Software Project

Time Overruns� has been undertaken and completed by

Miss K.Hemalatha under my guidance and supervision.

I also certify that she has fulfilled all the requirements under the covenant governing the submission of dissertation to the Bangalore University for the award of MBA degree.

Place: Bangalore Date:

(Prof. Rathnakar Acharya) Internal Guide Alliance Business Academy, Bangalore

Analysis of Software project time overrun

ACKNOWLEDGEMENT I express my immense gratitude to Professor Rathnakar Acharya, Alliance Business Academy, Bangalore. He has been my mentor and guide and his continuous encouragement and valuable suggestions helped me at every stage of this project.

I am grateful to Sri.Sudhir Angur, President and Prof.B.V. Krishnamurthy, Director and Executive Vice President of Alliance Business Academy and the staff for their comments and encouragement at various phases of this project.

I also extend my gratitude to all the 52 respondents from 19 software companies across India for their prompt and timely help and guidance in completing the project.

Place : Bangalore Date :

(Ms K.Hemalatha)

Analysis of Software project time overrun

Table of Contents

Chapter 1: Introduction 1.1 Background ......................................................................... 1 1.2 Statement of the problem.................................................... 5 1.3 Objectives of the study ....................................................... 5 1.4 Need and significance of the study..................................... 6 Chapter 2: Industry Profile 2.1 Information Technology Industry in India ......................... 7 2.2 Major steps taken for promotion of IT industry ................. 8 Chapter 3: Review of Literature 3.1 Purpose of literature review................................................ 9 3.2 Methodology of literature review ....................................... 9 3.3 Findings from literature review .......................................... 28 Chapter 4: Research Methodology 4.1 Scope of the Study .............................................................. 30 4.2 Type of research ................................................................. 30 4.3 Data Collection ................................................................... 30 4.4 Sampling technique ............................................................ 30 4.5 Sample population .............................................................. 30 4.6 Sampling frame................................................................... 31 4.7 Sample Size......................................................................... 31 4.8 Sample Description............................................................. 31 4.9 Instrumentation Techniques ............................................... 32 4.10 Tools for data analysis ...................................................... 32 4.11 Limitations of the Study ................................................... 32 Chapter 5: Data Analysis and Interpretation 5.1 Average number of projects undertaken............................. 33 5.2 Average time spent by the respondents on a typical project……………………………………………………...33 5.3 Average team size of the respondents ................................ 34 5.4 Project Completion ............................................................. 34 5.5 Product delivered with all the initial requirements............. 35 5.6 Proportion of features added later ...................................... 35

Analysis of Software project time overrun

5.7 Managing large teams ............................................................. 36 5.8 Problems faced in managing teams ........................................ 36 5.9 Ways of overcoming team management problem .................. 37 5.10 Increase in delivery time....................................................... 39 5.11 Usage of time tracking tools ................................................. 39 5.12 Other Measures employed to ensure on time delivery of project…………………………………………………….. 40 5.13 Factors responsible for project time overrun....................... 41 Chapter 6: Summary of findings 6.1 Summary of findings .............................................................. 49 Chapter 7: Recommendations 7.1 Recommendations................................................................... 52 Annexure Questionnaire ................................................................................ 54 Bibliography ................................................................................ 56

Analysis of Software project time overrun

Analysis of Software project time overrun

Sr. No

Graph description

1

Projects show steady improvement

2

Category of software projects

3

Company wise cross section of respondents

4

Years of experience

5

Average number of projects undertaken

6

Average time spent by the respondents on a typical

7

project Average team size of the respondents

8

Project Completion

9

Product delivered with all the initial requirements

10

Proportion of features added later

11

Managing large teams

12

Problems faced in managing teams

13

Ways of overcoming team management problem

14 15 16

Increase in delivery time Usage of time tracking tools Other Measures employed to ensure on time

17 18

delivery of project Lack of user input Incomplete requirements and specifications

19 20 21 22

Changing requirements and specifications Lack of executive support Technology incompetence Lack of resources

23 24 25

Unrealistic expectations Unclear objectives Unrealistic time frames

26 27

New technology Lack of planning

28

Too many or complicated standards

Page.No 3 4 31 32 33 33 34 34 35 35 36 36 37 39 39 40 41 41 42 43 43

44 45 45 46 47 47 48

Analysis of Software project time overrun

Analysis of Software project time overrun

Executive Summary Software is created with programming languages and related utilities, which may come in several forms. For a software project to be successful it is essential that the project is completed on time and within budget, with all features and functions originally specified. However due to various reasons these software projects fail some even get cancelled before they ever get completed. Because of this, the projects can be categorized into Successful projects, Challenged projects and Failed projects. The failure is caused mainly because of cost overrun or time overrun or because the product was not delivered with all the requirements as per initial specification. The cost of these failures and overruns are just the tip of the proverbial iceberg. The lost opportunity costs are not measurable, but could easily be in the trillions of dollars. Hence it is important that detailed work be done on these to overcome the huge costs they incur.

This research work is focused on analyzing the factors that cause software project time overruns and to provide recommendation to overcome or mitigate the effect of some of the identified factors on software project. The project employs systematic, formal and descriptive research techniques. This study is based on the data collected through structured questionnaire and in-depth, unstructured and informal interview with key personnel. The sampling technique used is snowball sample technique. Since the research topic is highly qualitative in nature, we are prompted to use simple percentages so as to make the data more succinct and amenable for easy interpretation.

The most important findings of the research work were the main factors that have been identified as critical to overcome software project time overruns.

These

are

incomplete

and

changing

requirements

and

specifications, unrealistic time frames, too many/complicated standards, technology incompetence and unclear objectives.

Analysis of Software project time overrun

The crucial recommendations provided after collection of data through secondary sources and primary source, i.e., field investigation dealt with.

Analysis of Software project time overrun

ABSTRACT Software is created with programming languages and related utilities, which may come in several forms. For a software project to be successful it is essential that the project is completed on time and within budget, with all features and functions originally specified.

However due to various reasons these software projects fail some even get canceled before they ever get completed. Because of this, the projects can be categorized into Successful projects, Challenged projects and Failed projects. The failure is caused mainly because of cost overrun or time overrun or because the product was not delivered with all the requirements as per initial specification. The cost of these failures and overruns are just the tip of the proverbial iceberg. The lost opportunity costs are not measurable, but could easily be in the trillions of dollars.

Hence it is important that detailed work be done on these to overcome the huge costs they incur.

This research work is focused on analyzing the factors that cause software project time overruns and to provide recommendation to overcome or mitigate the effect of some of the identified factors on software project.

The project employs systematic, formal and descriptive research techniques. This study is based on the data collected through structured questionnaire and in-depth, unstructured and informal interview with key personnel. The sampling technique used is snowball sample technique. Since the research topic is highly qualitative in nature, we are prompted to use simple percentages so as to make the data more succinct and amenable for easy interpretation.

The most important findings of the research work were the main factors that have been identified as critical to overcome software project time overruns. These are incomplete and

changing

requirements

and

specifications,

unrealistic

time

frames,

many/complicated standards, technology incompetence and unclear objectives.

too

Analysis of Software project time overrun The crucial recommendations provided after collection of data through secondary sources and primary source, i.e., field investigation dealt with.

1. INTRODUCTION 1.1 Background A project can be defined as a plan or proposal; a scheme or an undertaking requiring concerted effort.

Softwares are the programs, routines, and symbolic languages that control the functioning of the hardware and direct its operation. They are instructions for the computer. A series of instructions that performs a particular task is called a "program." The two major categories of software are "system software" and "application software." System software is made up of control programs such as the operating system and database management system (DBMS). Application software is any program that processes data for the user (inventory, payroll, spreadsheet, word processor, etc.). A common misconception is that software is data. It is not. Software tells the hardware how to process the data.

Software can also be defined as written programs or procedures or rules and associated documentation pertaining to the operation of a computer system and that are stored in read/write memory.

Unlike a building, software can’t be seen, touched, felt or visualized and it' s hard for the layman to get a conceptual grip of its size or cost or how long it might take to build.

Hence software projects can be defined as an undertaking to develop computer programs routines, and symbolic languages that control the functioning of the hardware and direct its operation.

Analysis of Software project time overrun Software creation Software is created with programming languages and related utilities, which may come in several forms: Single programs like script interpreters, packages containing a compiler, linker, and other tools; and Large suites (often called Integrated Development Environments) that include editors, debuggers, and other tools for multiple languages.

Software creation requires concerted effort from the software development teams. A software project team ideally consists of a team leader, software developers and software testers.

However for a software project to be successful it is essential that the project is completed on time and on budget, with all features and functions originally specified.

There are a couple of metrics for project success/failure. Some are binary, some are quantitative, and some are qualitative. Many may be influenced by outside factors.

Some are not direct indicators, but probably have a strong correlation. Some of them are: 1. Actual development time vs. projected development time.

2. Actual cost vs projected cost 3. Project deployed/introduced, or cancelled?

4. Revenue, profit, or productivity gains realized, vs projected 5. Customer/user satisfaction 6. Affect on reputation of company/department/project team 7. Were project staff rewarded (promoted, given bonuses), punished (sacked, demoted, given paycuts), or neither?

Analysis of Software project time overrun Past research findings In 1986, Alfred Spector, president of Transarc Corporation, co-authored a paper comparing bridge building to software development. The premise: Bridges are normally built on-time, on-budget, and do not fall down. On the other hand, software never comes in on-time or on-budget. In addition, it always breaks down. But there is another difference between software failures and bridge failures, beside 3,000 years of experience. When a bridge falls down, it is investigated and a report is written on the cause of the failure. This is not so in the computer industry where failures are covered up, ignored, and/or rationalized. As a result, the same mistakes are repeated over and over again.

The Standish Group’s research titled CHAOS Report 1995 shows a staggering 31.1% of projects will be canceled before they ever get completed. Further results indicate 52.7% of projects will cost 189% of their original estimates. The average time overrun is 222% of the original time estimate. For large companies, the average is 230%; for medium companies, the average is 202%; and for small companies, the average is 239%.The cost of these failures and overruns are just the tip of the proverbial iceberg. The lost opportunity costs are not measurable, but could easily be in the trillions of dollars. On the success side, the average is only 16.2% for software projects that are completed on-time and on-budget.

The Standish Group’s latest research entitled Extreme Chaos 2000 shows decided improvement in IT project management. The project success rates as per this report, while modest are up again across the board, while cost and time overruns are uniformly down. Time overruns have significantly decreased from 222% over the original time estimates in 1994 down to 63% in this latest study. Cost overruns have gone from 189% over the original cost estimates in 1994 down to 45% in the 2000 study. In 1994 required features comprised 61% of the final product. This latest report shows 67% of the required features and functions. This notable increase end-user satisfaction in terms of time, cost and features.

Analysis of Software project time overrun

However, Nirvana is still a long way off. Standish categorizes projects into three resolution types: Successful: The project is completed on time and on budget, with all features and functions originally specified.

Challenged: The project is completed and operational, but over budget, late, and with fewer features and functions than initially specified.

Failed: The project is canceled before completion, or never implemented.

As per the study, only 28% of the software projects succeeded, 49% were challenged and the rest failed.

Category of software projects The study established that the reason for most of the project failures was not lack of money or technology, most failed for lack of skilled project management and

Analysis of Software project time overrun executive support.

The study further establishes that lack of executive support has replaced user involvement as the number one cause of project failure. Without a staunch project champion with a solid business vision, projects can drift into a technological or political abyss. Project stakeholders must create business value by improving customer services, communicating a clear business plan and delivering competitive advantage.

Analysis of Software project time overrun

1.2 Statement of the problem The above background shows that there exists a research gap. The above mentioned data pertains to the year 2000. No fresh data on the failure rates of various software projects is available neither has much work been done to analyze the various reasons that cause these failures.

In view of this fact, this research work is aimed to analyze the factors that cause software project time overruns and to provide recommendation to overcome or mitigate the effect of some of the identified factors on software project.

However it should be borne in mind that product success is not equal to project success. One project might be regarded by management as a failed project. It might be several months late, and over-budget, and with some initial quality problems. But the product could be a hit with customers, and could be key moneymaker for the company. The reverse could be seen a number of times - the project might be regarded as a success, delivered in acceptable time and cost etc, but the product of the project might not realize the benefits. It is otherwise known as "The operation was a success but the patient died".

Analysis of Software project time overrun This research work is aimed at analyzing the project success/failure and not product success/failure.

1.3 Objectives of the study The main objectives of this study are as follows: i. To analyze the various reasons for software project time overruns that cause project failures. ii. To provide recommendations to overcome the identified failure factors.

Analysis of Software project time overrun

1.4 Need and significance of the study As per the Standish Group’s study of 2000, only 28% of the software projects succeeded, 49% was challenged and the rest failed. But that was the scenario 5 years back. It is essential to find out the scenario prevailing today.

The significance of this study lies in the amount of money that software companies are spending on project failures. The cost of these failures and overruns are just the tip of the proverbial iceberg. The lost opportunity costs are not measurable, but could easily be in the trillions of dollars. Furthermore such failures and overruns hamper the image of the company in today’s competitive market and reduce the level of customer satisfaction.

Hence it is essential to find out the success rate of software projects in today’s date, establish how much cost and time overruns are happening even today and what can be done to prevent or minimize such overruns.

Analysis of Software project time overrun However due to time and resource constraints, this study is focused mainly on analyzing the various reasons that cause software project time overruns and to provide recommendation to overcome or mitigate some of these reasons.

2. INDUSTRY PROFILE 2.1 Information Technology Industry in India The vision of IT policy is to use IT as a tool for raising the living standards of the common man and enriching their lives. Though, urban India has a high internet density, the government also wants PC and Internet penetration in the rural India.

In information technology (IT), India has built up valuable brand equity in the global markets. In IT-enabled services (ITES), India has emerged as the most preferred destination for business process outsourcing (BPO), a key driver of growth for the software industry and the services sector.

India' s most prized resource in today' s knowledge economy is its readily available technical work force. India has the second largest English-speaking scientific professionals in the world, second only to the U.S. According the data from ministry of communication and information technology, the ITES-BPO industry has grown by about 54 per cent with export earnings of US$ 3.6 billion during 2003-04. Output of the Indian electronics and IT industry have grown by 18.2 per cent to Rs.1,14,650 crore in 2003-04.

The share of software services in electronics and IT sector has gone up from 38.7 per cent in 1998-99 to 61.8 percent in 2003-04.

Analysis of Software project time overrun

Export markets continue to dominate the domestic segment. The size of the domestic market in software relative to the export markets for Indian software, which was 45.2 percent in 1998- 99, after declining rapidly to 29.8 percent in 2001-02, fell only to 29.1 percent and 27.7 per cent in the two subsequent years.

Value of software and services export is estimated to have increased by 30 percent to US$12.5 billion in 2003-04. The annual growth rate of India' s software exports has been consistently over 50 percent since 1991. No other Indian industry has performed so well against the global competition.

According to a recent study conducted by NASSCOM, the chamber of commerce and "voice" of the IT software and services industry in India: Indian Software and Services Exports earned revenues of USD 17.2 billion, registering growth of 34.5 % in FY 2004-05 Total software and services revenue were USD 22 billion in 2004-05. Domestic market revenue grew up by 24% in FY 04-05 Indian Software and Services exports industry is forecasted to register strong growth of around 30-32% in FY 05-06.

2.2 Major steps taken for promotion of IT industry With the formation of a ministry for IT, Government of India has taken a major step towards promoting the domestic industry and achieving the full potential of the Indian IT entrepreneurs. Constraints have been comprehensively identified and steps taken to overcome them and also to provide incentives.

In order to broaden the internet base, the Department OF Information technology has also announced a programme to establish State Wide Area Network (SWAN) up to the block level to provide connectivity for e-governance. The Department has also set up Community Information Centers (CICs) in hilly, far-flung areas of the North-East and

Analysis of Software project time overrun Jammu and Kashmir to facilitate the spread of benefit of information and communication technology. It is also proposed to set up CICs in other hilly, far-flung areas of the country like Uttaranchal, Andaman & Nicobar and Lakshadweep.

A number of steps have been taken to meet the challenge of zero duty regime in 2005 under the Information Technology Agreement (ITA-1). Tariffs on raw materials, parts, other inputs and capital goods have been rationalized to make domestic manufacturing viable and competitive.

3. REVIEW OF LITERATURE 3.1 Purpose of literature review Literature is reviewed to explore the historical and current scenario of software projects and as a whole to understand the software project management. Over and above, the purpose of the literature review is to understand in totality the foundation of the research problem, understand the data that has been gathered in the field of study and to make new findings on the problem statement. The abstracts in the following pages are some of the key literature reviewed in this project.

3.2 Methodology of literature review Different sources used in order to collect information or data are 路 Internet

Analysis of Software project time overrun 路 Magazines and Journals 路 Publications 路 Articles This encompasses different facets of information sources concerning the identification of various reasons behind software project time overruns. It started with search in Computer and IT magazines, textbooks and lot of other relevant magazines and journals.

Information on software project time overruns was mostly available on the websites; lots of articles and presentations on the web sites were analyzed and used in the research for better understanding of the topic. (A list of websites has been provided in the annexure.)

Title: How to Be Agile Website: www.agilealliance.org

Slash the budget.

Small budgets force developers to focus on the essential. Small budgets also make it easier to kill failing projects. For example, imagine a project that has already cost $20 million. Imagine it's going down the tubes. With that much skin in the game, it' s tempting for the CIO to invest another $10 million in an attempt to rescue it rather than take a huge loss. All too often, he ends up with a bigger one.

Jim Johnson, chairman of The Standish Group, says he forced the CIO of one Fortune 500 company to set a $100,000 ceiling on all software projects. No exceptions without approval from the CIO and CEO. Johnson claims the company's project success rate went from 0 percent to 50 percent.

Analysis of Software project time overrun

If it doesn't work, kill it.

Bring marketing, program and project management, and IT executives together at the beginning of a project and as it progresses to evaluate every piece of code in development. Is it doing what the business wants? Is it working? Any code that isn' t should be mercy killed.

This is called triage, and it is the perfect place to kill a software project," says Pat Morgan, senior program manager at Compaq's Enterprise Storage Group. He holds monthly triage sessions and says they can be brutal. "At one [meeting], engineering talked about a cool process they were working on to transfer data between GUIs. No one in the room needed it. We killed it right there. In our environment, you can burn a couple of million dollars in a month only to realize what you' re doing isn' t useful."

Analysis of Software project time overrun Keep requirements to a minimum.

Don't start with everything you want the software to do; start only with what it absolutely must do. And don't worry about writing all your needs down, because requirements change.

Every software project traditionally starts with a requirements document that will often have hundreds or thousands of elements. But The Standish Group estimates that only 7 percent of the features of any given application are actually needed. And a major reason for software failure is feature overload—when a programmer adds a feature that interferes with an essential process. Fixing that disconnect in turn creates another disconnect, and so it goes.

Tom DePauw, manager of IT at Cater-pillar Financial Services in Nashville, Tenn., is using Agile Development to build Cat FinancExpress, a massive Web-based system that integrates three older software systems used for helping customers finance heavy equipment purchases.

"When the project started, Caterpillar Inc. [the parent company] wanted to see the book," DePauw says, referring to the requirements document. "I held up this single sheet of paper with a diagram on it and said, ' This is it.' "

Build on success, not hope.

As often as once a week, and not less than once a month, complete a piece of software.

Then have your business deciders test and approve it.

That doesn't mean the software is shipped or deployed, built must work and it must be bug-free. This is the Agile concept's most radical departure from traditional development.

In some software projects, no one shows working code for years.

Ken Moskowitz, CIO of New York City-based Standard & Poor' s, dictates weekly builds of his company' s software. Every week, the pieces being worked on are compiled

Analysis of Software project time overrun and tested.

"We' ve had a great deal of success with it," Moskowitz says ofthis rigid weekly schedule. "I don' t want things thrown across the transom. I don' t want ' Here, I think I need this. Go and build it, and we' ll see if it was what I really needed in the first place.'

Keep your development teams small.

The fewer the developers, the better. Developers should team code.

Proponents of Agile Development swear that team coding is more efficient and produces stronger code than solo efforts. But even Fowler admits that this is one of the harder tenets of Agile Development to accept. Who is teamed and why? How do you budget their time? Expect a learning curve.

Caterpillar's Agile project encompasses 200 distinct financial screens and contains 1.5 million lines of code.

Assign non-IT executives to software projects.

Non-IT execs should coordinate with the technical project manager, test iterations to make sure they' re meeting user needs, and act as liaison between executives and IT. With business involved full time, "It' s hard for us to say after three months of iterations that we didn' t really know how it was going," says Chris Colleran, CTO of a Salt Lake City market research outfit called SpreeRide. Colleran is using Agile Development to set up his company' s website and some bac-kend applications and has business executives full time on the project.

"Emotionally it's hard to commit businesspeople to the development process, but it's only counterintuitive because of the way it has always been," he says. "If you think about it, the perfect developer would be half a businessperson and half a programmer."

Analysis of Software project time overrun

Title: Project Management: The Criteria for Success Authors: Jim Johnson, Karen D. Boucher, Kyle Connors, and James Robinson Magazine: Software Magazine (February/March 2001) There' is great neww on the project management front, according to The Standish Group, West Yarmouth, Mass., a research firm that focuses on mission-critical project management applications. Its most recent findings indicate researchers and project managers alike are learning how to become more successful at IT project management.

According to results of Standish' s 1994 CHAOS study, a research report published annually since that year, only 28,000 application development projects met the criteria for success—completed on time, on budget, and with all the features and functions originally specified. Last year' s results show that 78,000 U.S. projects were successful.

The reasons for the increase in successful projects vary. First, the average cost of a project has been more than cut in half. Better tools have been created to monitor and control progress, and more highly skilled project managers are using improved management processes. The fact that there are processes is significant in itself.

Most of these new projects are well within The Standish Group' established in "Recipe for Success, 1998," which limits project duration to six months and project staff to six people. This article is based on information from the company's latest paper, "Extreme CHAOS 2001."

The Road to success Success rates are up across the board, while cost and schedule overruns are declining.

Analysis of Software project time overrun The CHAOS research timeline is evidence of steady improvement in IT project management. In 1994, only 16% of application development projects met the criteria for success—completed on time, on budget, and with all features/functions originally specified. In 2000, 28% of projects were in the successful column. Standish categorizes projects into three resolution types:

Analysis of Software project time overrun Successful: The project is completed on time and on budget, with all features and functions originally specified.

Challenged: The project is completed and operational, but over budget, late, and with fewer features and functions than initially specified.

Failed: The project is canceled before completion, or never implemented. Tracking U.S. project outcomes showed that in 1994, 28,000 projects were successful, while in 2000, the number rose to 78,000—almost a threefold increase. Conversely, failed projects amounted to 54,000 in the 1994 study vs. 65,000 in the 2000 study. This was an 18% increase, while overall project growth exceeded 60%. Challenged projects grew at a rate of 62%, to equal 137,000 over the 1994 number of 93,000.Cost overruns in 1994 equaled 189% over the original estimate. This was reduced from 69% in the 1998 study and down to 45% in the 2000 study. Time overruns dropped from 222% in 1994 to 63% in 2000.

Another piece of good news is that in 1994 only 61% of the required features were delivered on challenged projects, compared with 67% in the 2000 study.

Overall, the outlook is good. Project success rates are up, and overruns are down.

More importantly, although the number of projects is expected to double in 2001, the rate of failure is expected to decline substantially.

What ensures a project' s success? Theoriginal CHAOS study, conducted in 1994, identified 10 success factors. Standish has updated the CHAOS Ten for 2000. Although no project requires all 10 factors to be successful, the more factors present in the project strategy, the higher the confidence level. These factors are: 1 Executive support Traditionally, executive support occupied the No. 2 spot; however, it is now the No. 1 factor in project failure. Executive support influences a project' s process and progress.

Lack of executive input can jeopardize a project.

2 User involvements Lack of user involvement traditionally has been the No. 1 reason for project failure.

Conversely, it has been the leading contributor to project success. Even when delivered

Analysis of Software project time overrun on time and on budget, a project can fail if it doesn't meet user needs or expectations.

However, this year user involvement has moved to the No. 2 position. Despite how that may sound, user involvement hasn't decreased in importance; it's just that IT professionals have, in effect, solved this major problem.

3 Experienced project managers Ninety-seven percent of successful projects have an experienced project manager at the helm.

4 Clear business objectives This factor has moved down one spot because evidence shows that experienced project managers increase success rates.

5 Minimized scope Wrapping up the top five is minimized scope. Time is the enemy of all projects, and since scope affects time, or project duration, they are linked. Clearly then, minimizing scope increases a project' s chances of success. Minimized scope has replaced small milestones.

While these two factors are similar, the act of minimizing scope leads to greater success than does creating small milestones. Concentrating on the top five will result in 70 success points.

6 Standard software infrastructures Requirements are in a state of constant flux, but infrastructure needs stability. The Standish Group' s research shows that 70% of application code is infrastructure. Some of this code is unique to the application; nonetheless, much of this code could be purchased from an infrastructure vendor. By using standard infrastructure, the application development team can concentrate on business rules rather than on technology. Many application development projects fail not in stand-alone application development, but in

Analysis of Software project time overrun existing application integration. Standard infrastructures can shortcut application integration.

7 Firm basic requirements The word "basic" refers to base-level requirements. Creating minimal, obtainable base requirements and then developing those features will reduce the effect of change.

Delivering minimal features allows users and executive sponsors to see quick results. As a result, project managers are better prepared to articulate the needs and priorities of the next project phase.

8 Formal methodologies This provides a realistic picture of the project and resources committed to it. And it results in steps and procedures the team can reproduce and reuse. It also enables the team to maximize consistency. And it incorporates lessons learned into active projects. The process encourages a go or no-go decision checkpoint. It also helps the project team proceed with a higher level of confidence, or halt or alter steps to fit changing requirements. CHAOS research shows that 46% of successful projects use a formal project management methodology, compared with 30% of challenged and failed projects.

So, this factor should increase success rates by about 16%.

9 Reliable estimates Systematic project estimating must be approached realistically, because estimating is just plain hard. Then add to that the difficulty of developing, purchasing, and integrating components into existing and packaged applications, and outside services.

IT managers must use all their collective knowledge and experience to come up with estimates that reflect the true effort required.

Analysis of Software project time overrun 10 Other criteria In last place is a collection of other factors. These factors include small milestones, proper planning, competent staff, and ownership. In the past, each of these factors was given its own category.

The CHAOS Ten success factors continue to be valuable for assessing project potential. While nothing can guarantee project success, adhering to the CHAOS Ten will increase your odds of putting together a winning project.

The Standish Group predicts that most projects started and resolved this year will be microprojects: ones lasting no more than four months and run by four people. CHAOS research shows minimization as a key factor in successful projects. The microproject is the ultimate in minimization. Many last only three to four weeks.

Don't confuse microprojects with milestone—s microprojects live and die on usable deliverables.

The Web and standard infrastructure have made the microproject a viable entity. New application versions can be brought up quickly, and bugs can be found, corrected online, and benefits realized immediately. There' s no need for release dates, shipping codes, or drawn-out user training. One of Standish' s Fortune 500 clients mandatde microprojects. The company' s president must approve any project estimated to cost more than $100,000.

However, the advent of the microproject has made it harder to manage resources, and has turned code version management into a nightmare. While microprojects are deliverables by themselves, they rarely stand alone. Therefore, changes in one project can affect the collection of objects, individual programs, interfaces, and databases.

These entities could be in the thousands, while teams and developers span time zones.

To address these issues requires an asset-based change management tool. An asset-based tool that supports configuration management over multiple technologies and

Analysis of Software project time overrun programming styles is just the ante. The tool must support versions and relationships of source files, directories, test cases, and configurations. The tool must also be able to communicate the project to the development community to prevent duplication and make developers aware of the project' s use and reuse. It should control concurrent and parallel versions and use roles-based access control. This type of tool can go a long way in maintaining and developing successful applications.

Analysis of Software project time overrun

Title: FAILURE STATISTICS Website: www.standishgroup.com The Standish Group segmented the results by large, medium and small companies. A large company is any company with greater than $500 million dollars in revenue per year, a medium company is defined as having $200 million to $500 million in yearly revenue, and a small company is from $100 million to $200 million.

The figures for failure were equally disheartening in companies of all sizes. Only 9% of projects in large companies were successful. At 16.2% and 28% respectively, medium and small companies were somewhat more successful. A whopping 61.5% of all large company projects were challenged compared to 46.7% for medium companies and 50.4% for small companies. The most projects, 37.1%, were impaired and subsequently canceled in medium companies, compared to 29.5% in large companies and 21.6% in small companies.

Restarts One of the major causes of both cost and time overruns is restarts. For every 100 projects that start, there are 94 restarts. This does not mean that 94 of 100 will have one restart; some projects can have several restarts. For example, the California Department of Motor Vehicles project, a failure scenario summarized later in this article, had many restarts.

Cost Overruns Equally telling were the results for cost overruns, time overruns, and failure of the applications to provide expected features. For combined Type 2 and Type 3 projects, almost a third experienced cost overruns of 150 to 200%. The average across all companies is 189% of the original cost estimate. The average cost overrun is 178% for large companies, 182% for medium companies, and 214% for small companies.

Analysis of Software project time overrun Cost Overruns % of Responses Under 20%

15.5%

21 - 50%

31.5%

51 - 100%

29.6%

101 - 200%

10.2%

201 - 400%

8.8% Over 400%

4.4%

Time Overruns For the same combined challenged and impaired projects, over one-third also experienced time overruns of 200 to 300%. The average overrun is 222% of the original time estimate. For large companies, the average is 230%; for medium companies, the average is 202%; and for small companies, the average is 239%.

Time Overruns % of Responses Under 20%

13.9%

21 - 50%

18.3%

51 - 100%

20.0%

101 - 200%

35.5%

201 - 400%

11.2% Over 400%

1.1%

Analysis of Software project time overrun Content Deficiencies For challenged projects, more than a quarter were completed with only 25% to 49% of originally-specified features and functions. On average, only 61% of originally specified features and functions were available on these projects. Large companies have the worst record with only 42% of the features and functions in the end product.

For medium companies, the percentage is 65%. And for small companies, the percentage is 74%. % of Features/Functions % of Responses Less Than 25%

4.6%

25 - 49%

27.2%

50 - 74%

21.8%

75 - 99%

39.1%

100%

7.3%

Currently, the 365 companies have a combined 3,682 applications under development.

Only 431 or 12% of these projects are on-time and on-budget.

Analysis of Software project time overrun

Title: Failure Rate Website: www.it-cortex.com/Stat_Failure_Rate.htm

The following surveys provide statistical data over the rate of failure of IT projects.

The Robbins-Gioia Survey (2001) Robbins-Gioia, LLC, a provider of management consulting services located in Alexandria - Virginia, made a study over the perception by enterprises of their implementation of an E.R.P. (Enterprise Resource Planning) package.

Survey Scope 232 survey respondents spanning multiple industries including government, Information Technology, communications, financial, utilities, and healthcare.

A total of 36 % of the companies surveyed had, or were in the process of, implementing an ERP system.

Key Findings 他 51% viewed their ERP implementation as unsuccessful 他

46 % of the participants noted that while their organization had an ERP system in

place, or was implementing a system, they did not feel their organization understood how to use the system to improve the way they conduct business. 他 56 % of survey respondents noted their organization has a program management office (PMO) in place, and of these respondents, only 36 % felt their ERP implementation was unsuccessful Comments on the Robins-Gioia Survey Project failure is not defined by objective criteria but by the perception of the respondents. The advantage of a perception is that it naturally integrates multiple aspects.

Its obvious disadvantage is that it is inevitably partial: if the respondent has taken an active role in the project it will inevitably embellish the reality, whereas if

Analysis of Software project time overrun the project has been "forced down his throat" he might cast a grimmer look at the project outcome.

The Conference Board Survey (2001) Survey Scope That survey interviewed executives at 117 companies that attempted ERP implementations Key Findings ¾ 34 % were very “satisfied.” ¾ 58% were somewhat satisfied ¾ 8% were unhappy with what they got ¾ 40% of the projects failed to achieve their business case within one year of going live. ¾ The companies that did achieve benefits said that achievement took six months longer than expected. ¾ Implementation costs were found to average 25 % over budget, ¾ Supports costs were underestimated for the year following implementation by an average of 20 %.

The KPMG Canada Survey (1997) In April 1997, KPMG Canada sent a survey questionnaire focusing on IT project management issues to Canada' s leading 1,450 public and private sector organizations.

The main purpose was to outline the reasons behind the failure of Information Technology projects.

Analysis of Software project time overrun Survey Scope Out of 1,450 questionnaires sent, 176 were analyzed. Of these, 61 % reported details on a failed IT project.

Analysis of Software project time overrun Key Findings Over 61% of the projects that were analyzed were deemed to have failed by the respondents. More than three quarters blew their schedules by 30% or more; more than half exceeded their budgets by a substantial margin. Considering that an estimated $25 billion is spent on IT application development in Canada annually, the survey data clearly indicate that unbudgeted IT project expenditures must run into the billions of dollars.

The Chaos Report (1995) The Chaos Report is the first survey made by the Standish Group. This report is the landmark study of IT project failure. It is cited by everybody writing a paper or making a presentation were a reference is made of IT project failure.

Scope of the Study The respondents to the Standish Group survey were IT executive managers. The sample includes large, medium, and small companies across major industry segments: banking, securities, manufacturing, retail, wholesale, heath care, insurance, services, and local, state, and federal organizations. The total sample size was 365 respondents representing 8,380 applications. In addition, The Standish Group conducted focus groups and personal interviews to provide qualitative context for the survey results.

Key Findings The Standish Group research shows a staggering 31.1% of projects will be cancelled before they ever get completed. Further results indicate 52.7% of projects will cost over 189% of their original estimates. The cost of these failures and overruns are just the tip of the proverbial iceberg. The lost opportunity costs are not measurable, but could

Analysis of Software project time overrun easily be in the trillions of dollars in the United States alone.

Based on this research, The Standish Group estimates that in 1995 American companies and government agencies will spend $81 billion for canceled software projects. These same organizations will pay an additional $59 billion for software projects that will be completed, but will exceed their original time estimates. The Standish Group estimates that almost 80,000 projects were cancelled in 1995. Risk is always a factor when pushing the technology envelope, but many of these projects were as mundane as a driver’s license database, a new accounting package, or an order entry system.

On the success side, the average is only 16.2% for software projects that are completed on-time and on-budget. In the larger companies, the news is even worse: only 9% of their projects come in on-time and on-budget. And, even when these projects are completed, many are no more than a mere shadow of their original specification requirements. Projects completed by the largest American companies have only approximately 42% of the originally-proposed features and functions.

Smaller companies do much better. A total of 78.4% of their software projects will get deployed with at least 74.2% of their original features and functions.

This data may seem disheartening, and in fact it is, 48% of the IT executives in our research sample feel that there are more failures currently than just five years ago.

The OASIG Study (1995) This study has been undertaken under the auspices of OASIG, a Special Interest Group in the UK concerned with the Organizational Aspects of Information Technology.

Scope of the Study Information was collected in 1995 in the United Kingdom from a sample of 45 experts employed primarily by Universities or Consultancies. On average they have each over 20 years personal experience representing a cumulative knowledge base of over 900 years.

Analysis of Software project time overrun They drew their opinion from a sample of approximately 14,000 user organizations. 31 of these interviewees (69%) include consultancy work as a major component of their work, and 27 (60%) include research; many do both. Their professional areas of expertise cover the domains of management, business, and social science. A small number of those interviewed have a background in engineering.

Data were collected by interviewing researchers and consultants using a semi- structured interview schedule. Some preparation was required by them. Each interview lasted, on average, around 1.5 to 2 hours, though some lasted considerably longer.

Key Findings The IT project success rate quoted revolves around 20-30% based on its most optimistic interviews. Bottom line, at best,7 out of 10 IT projects “fail� in some respect.

Analysis of Software project time overrun

CASE STUDIES California DMV In 1987, the California Department of Motor Vehicles (DMV) embarked on a major project to revitalize their drivers’ license and registration application process. By 1993, after $45 million dollars had already been spent, the project was canceled.

According to a special report issued by DMV, the primary reason for redeveloping this application was the adoption new technology. They publicly stated: "The specific objective of the 1987 project was to use modern technology to support the DMV mission and sustain its growth by strategically positioning the DMV data processing environment to rapidly respond to change." Also, according to the DMV special report "The phasing was changed several times, but the DMV technical community was never truly confident in its viability...."

The project had no monetary payback, was not supported by executive management, had no user involvement, had poor planning, poor design specifications and unclear objectives. It also did not have the support of the state' s information management staff.

The DMV project was not rocket science. There are much harder applications than driver licenses and registrations. But because of internal state politics, unclear objectives, and poor planning, the project was doomed from the start.

American Airlines Early in 1994, American Airlines settled their lawsuit with Budget Rent-A-Car, Marriott Corp. and Hilton Hotels after the $165 million CONFIRM car rental and hotel reservation system project collapsed into chaos.

This project failed because there were too many cooks and the soup spoiled. Executive management not only supported the project, they were active project managers. Of course, for a project this size to fail, it must have had many flaws. Other major causes included an incomplete statement of requirements, lack of user involvement, and constant

Analysis of Software project time overrun changing of requirements and specifications.

Hyatt Hotels While Marriott and Hilton Hotels were checking out of their failed reservation system, Hyatt was checking in. Today, you can dial from a cellular airplane telephone at 35,000 feet, check into your Hyatt hotel room, schedule the courtesy bus to pick you up, and have your keys waiting for you at the express desk. This new reservation system was ahead of schedule, under budget, with extra features -- for a mere $15 million of cold cash. They used modern, open systems software with an Informix database and the TUXEDO transaction monitor, on Unix-based hardware.

Hyatt had all the right ingredients for success: user involvement, executive management support, a clear statement of requirements, proper planning, and small project milestones.

Banco Itamarati A year after a strategic redirection, Banco Itamarati, a privately-held Brazilian bank, produced an annual net profit growth of 51% and moved from 47th to 15th place in the Brazilian banking industry. Three fundamental reasons account for Banco Itamarati' s success. First, they had a clear vision with documented specific objectives. Second, their top-down level of involvement allowed Banco Itamarati to stay on course. And finally, the

bank

produced

incremental,

measurable

results

throughout

the

planning/implementation period.

Banco Itamarati' s clear business goal is to be one of Brazil' s top five private-hlyeld banks by the year 2000. Their objectives include maintaining a close relationship with their customers to improve and maintain an understanding of their needs, offering competitive financial solutions, guaranteeing customer satisfaction, and finally producing balanced results for the Itamarati Group. Banco Itamarati' s objectives were incorporated into a strategic plan that clearly identified measurable results and individual ownership.

Their strategic plan made technology a key component of the business strategy. Itamarati used Itautec' s GRIP OLTP monitor as a basic tool for integrating software components.

According to Henrique Costabile, Director of Organization Development, "We are one of

Analysis of Software project time overrun the first banks to implement a client-server architecture that maximizes the potential of this architecture." Executive leadership, a well-communicated plan, and a skilled diverse team provided the foundation for Banco Itamarati to achieve their long-term goal, potentially ahead of schedule.

CASE STUDY CONCLUSIONS The study of each project included adding up success points on the "success potential" chart.

Success Criteria

Points DMV CONFIRM HYATT ITAMARATI

1. User Involvement

19

NO ( 0)

NO ( 0)

YES (19)

2. Executive Management

16

NO ( 0)

YES (16)

YES (16)

15

NO ( 0)

NO ( 0)

YES (15)

4. Proper Planning

11

NO ( 0)

NO ( 0)

YES (11)

5. Realistic Expectations

10

6. Smaller Project Milestones

9

NO ( 0) NO ( 0)

YES ( 9) YES ( 9)

7. Competent Staff

8

NO ( 0) NO ( 0)

YES ( 8) YES ( 8)

8. Ownership

6

NO ( 0) NO ( 0)

YES ( 6) YES ( 6)

9. Clear Vision & Objectives

3

NO ( 0) NO ( 0)

YES ( 3) YES ( 3)

10. Hard-Working, Focused 3

NO ( 0) YES ( 3)

Support 3. Clear Statement of Requirements (10)

YES ( 3) YES ( 3)

Staff TOTAL

100

10

29

100

85

With only 10 success points, the DMV project had virtually no chance of success.

With 100 success points, Hyatt' s reservation project had all the right ingredients for success. With only 29 success points, the CONFIRM project had little chance of success.

With 85, Itamarati, while not as assured as Hyatt, started with a high success

Analysis of Software project time overrun probability.

3.3 Findings from literature review The literature review has been very informative as it has thrown light on the research and articles that have been written on software project time overruns. Moreover it has helped in identifying the degree of research that has been already done on the subject.

It has narrowed the scope of repetition and has formed the basis of secondary data for this study.

The following are the conclusions drawn from each of the articles used for literature review: How to Be Agile This article talks about the various factors that can result in project success. These are slash the budget; if it doesn' t work, kill it; keep requirements to a minimum; build on success, not hope; keep your development teams small; and assign non-it executives to software projects.

Project management: the criteria for success As compared to the projects in 1994, the projects in 2000 were more successful in terms of completion within budget, on time and with features originally required. The article further goes on to tell that there are 10 factors that contribute to a projects success.

Although no project requires all 10 factors to be successful, the more factors present in the project strategy, the higher is the confidence level. These factors are executive support, user involvements, experienced project manager, clear business objectives, and minimized scope, standard software infrastructure, firm basic requirements, formal

Analysis of Software project time overrun methodology, reliable estimates and others.

Analysis of Software project time overrun Failure Statistics The project success rates for large software companies were the least when compared to that of the medium and small software companies. The major reason for the failures being project restarts that cause both cost and time overruns. Again the cost and time overruns were more for the large companies than the medium and small companies.

Failure Rate The statistics presented in this article all converge to establish that: 他 An IT project is more likely to be unsuccessful than successful 他 About 1 out of 5 IT projects is likely to bring full satisfaction 他 The larger the project the more likely the failure

Analysis of Software project time overrun

4. RESEARCH METHODOLOGY 4.1 Scope of the Study This study is restricted to the software projects only. The study does not analyze the product success nor does it foray into any other types of project.

4.2 Type of research The project employs systematic, formal and descriptive research techniques. This is primarily a qualitative research. This study is based on the data collected through structured questionnaire and in-depth, unstructured and informal interview with key personnel.

4.3 Data Collection Data sources consisted of primary and secondary. Sources of primary data include the Software project leads, team leads and developers and testers with 4 or more than 4 years of experience.

A structured questionnaire was developed and administered to generate the primary data.

Sources of secondary data included the information provided by various text books, magazines and internet. Internet has been a major secondary source for the extraction of the expert’s opinion.

4.4 Sampling technique The sampling techniques used are snowball sample technique and stratified sample technique. The respondents for the study have been selected based on the years of experience and expertise for the given role. Using these selected respondents furthers

Analysis of Software project time overrun contacts were established and then converted into respondents.

4.5 Sample population The sample population for the purpose of our study consists of all the software professionals.

4.6 Sampling frame The sampling frame for the purpose of our study consists of all the software professionals in India who are currently employed in the role of project leads or team leads or software developers and testers with experience of 4 years or more.

4.7 Sample Size The composition of the study sample consisted of Software project leads, team leads and developers and testers with 4 or more than 4 years of experience. The respondents whom we have approached are 52 in number.

4.8 Sample Description Respondents have been selected from across a cross section of software product and services companies. They have been selected from 19 companies in total belonging to large, medium as well as small sized companies. Out of total number of respondents, only one respondent did not give any response for the organization name.

Most of the respondents had an experience of more than 4 years in the software field with 64% belonging to the category of 4 years to 8 years, 13% belonging to the category of more than 8 years and 23% belonging to the category of less than 4 years. These figures

Analysis of Software project time overrun are depicted in the chart shown below.

Analysis of Software project time overrun

Years of Experience

13% 23%

< 4 Years 4-8 Years >8Years

64%

Analysis of Software project time overrun

4.9 Instrumentation Techniques Structured Questionnaire: The primary data has been collected through structured Questionnaires, which were administered to the respondents. One set of Questionnaire has been developed to identify the factors that cause project time overruns. (Annex 1A)

4.10 Tools for data analysis Since our research topic is highly qualitative in nature, we are prompted to use simple percentages so as to enable the data to be more succinct and amenable for easy interpretation. We believe that simple treatment of data will be more useful in drawing inferences from the data.

4.11 Limitations of the Study Research investigation is beset with time and resource constraints. Research is limited to respondents in India across only 19 companies of large, medium and small size and hence the limitation of generalization becomes obvious.

Analysis of Software project time overrun

5. DATA ANALYSIS AND INTERPRETATION

5.1 Average number of projects undertaken

Source: Field Investigation

Interpretation On an average 7 projects were undertaken by the respondents. The number of projects ranged between 1 and 40. This has been shown in the graph above.

5.2 Average time spent by the respondents on a typical project 40 35 30 25 20 15 10 5 0 Ave rage time s pe nt on typical proje ct

Analysis of Software project time overrun

Source: Field Investigation

Interpretation

Analysis of Software project time overrun

On an average 10 person months were spent by the respondents on a project. The time taken ranged between 3 and 36 person months. Out of 52 respondents 4 did not provide any answer to this query. This has been shown in the graph above.

5.3 Average team size of the respondents

35 30 25 20 15 10 5 0 Ave rage te am s ize

Source: Field Investigation

Interpretation The team size of the respondents varied between 2 and 30 members with an average of 9 member team. The above graph depicts the same.

5.4 Project Completion

Analysis of Software project time overrun Project completed on time

6% 17%

Analysis of Software project time overrun 12%

65%

Always Most ly Somet imes Never

Source: Field Investigation

Interpretation

65% of the respondents said that the projects mostly completed on time. Only 12% said that the projects always completed on time while 6% said that the projects were never completed on time.

5.5 Product delivered with all the initial requirements

Product de live re d with all require ments

Analysis of Software project time overrun

2%

35%

63% Yes No No response

Source: Field Investigation

Interpretation Majority of the respondents agree that the products that they delivered met all the requirements as per the initial specifications. 63% said yes to the query while 35% negated the query and 1 respondent did not respond to the query.

5.6 Proportion of features added later

Proportion of features added later

8%

29%

0%

Analysis of Software project time overrun <10% 10-30% 30-50% >50%

63%

Source: Field Investigation

Interpretation 63% of the respondents said that only 10-30% of the features were added later to the product. 29% said that less than 10% of features were added later while 8% said that 30-50% of the features were added later. None of the respondents said that more than 50% of the features were added later.

5.7 Managing large teams

Managing large teams is

25% 4%

8%

Analysis of Software project time overrun

Easy Not so easy Difficult Very difficult 63%

Source: Field Investigation

Interpretation A majority of respondents consider managing large teams as “Not so easy”. Only 8% consider it as “Easy” and 4% consider it as “Very difficult”.

5.8 Problems faced in managing teams

Analysis of Software project time overrun

Problems in managing teams

16%

Communicat ion

9%

13%

25% 37% Lack of experience Frict ion bet ween members Lack of management support Ot hers

Source: Field Investigation

Interpretation 44% of the respondents find communication as a major problem in handling teams.

Analysis of Software project time overrun

The next major problem faced is lack of experience of the team members followed by friction between members and lack of management support.

The other problems identified by the respondents were: 1. People not taking end-to-end ownership 2. Making them believe in what they are doing and explain them the need of following some processes 3. Consistency in Competence and Commitment of the team members 4.

Skill of every team members is not at same level, so many times some are more

overloaded than others 5. Team members not co-located (global team), Cultural differences 6. Co-ordination of various interfaces among various components 7. Co-ordination and resource sharing 8. Timely reporting of issues in the project 9. Balancing Teamâ&#x20AC;&#x2122;s aspiration and Customer expectation 10. Managements support to set realistic targets and convince customer of the same 11. Memberâ&#x20AC;&#x2122;s personal p roblems, immaturity, attitude, attrition

Analysis of Software project time overrun

5.9 Ways of overcoming team management problem

Overcome the problem by

29% 21%

Analysis of Software project time overrun

19% 31%

More t raining courses Smaller t eam More project reviews Ot hers

Source: Field Investigation

Interpretation 31% of the respondents opted for more training courses as a viable option to overcome the problems faced in managing teams while 29% opted for more project reviews and 19% opted for smaller teams. 21% of the respondents provided other solutions to over come the problems faced in managing teams. This include the following 1. Motivation and making sure that each employee blends with the organizational goals and the processes it follows.

2. Groom team for Company and also Manager style

Analysis of Software project time overrun

3.

Define the processes very clearly during the planning stages and keep the team

updated about the same.

4. Explain the significance of the various steps and processes followed in the project to the project team. This will help the team members answer the question: â&#x20AC;&#x153;Why are we doing some specific activities?â&#x20AC;?

5. Management Support on Administrative & Infrastructure 6. More time should be given in design and requirements phase.

7.

Meetings, Constructive feedback, non-penalizing reactions on issues reported,

encourage honesty 8.

Leads & Project Managers undergo soft skills training and develop strategies for

excellence in the changing environment using innovation, displaying creative leadership and building stronger teams 9. Managements support to set realistic targets and convince customer of the same 10. To have back up plans ready always by anticipating problem areas.

11. Team building exercises, Team lunches to reduce friction between team members and improve communication between team members 12. have some senior folks, effective training and mentoring

5.10 Increase in delivery time

Analysis of Software project time overrun

Analysis of Software project time overrun Delivery time exceeded by

0%

48%

52% <1 mth 1-3 mth 3-6 mth >6 mth

Source: Field Investigation

Interpretation

None of the projects had time overruns of more than 3 months. 52% of the projects overshot the time by less than 1 month and 48% overshot time b 1-3 months.

Analysis of Software project time overrun

Analysis of Software project time overrun

5.11 Usage of time tracking tools

Time tracking tool used

33%

Yes No

67%

Source: Field Investigation

Interpretation 67% of the respondents use time tracking tools while the rest donâ&#x20AC;&#x2122;t use any sort of time tracking tools. Most of the tools used were in-house developed and the others consisted mainly of M/S Office Project, Excel Sheets, Lotus Notes, Rational Portfolio Manager, CONCERTO and Outlook Calendar.

Analysis of Software project time overrun

5.12 Other Measures employed to ensure on time delivery of project Other measures

8%

1%

5%

30%

25%

31% Checks and reviews Careful planning Allocat e ext ra resources Reduce funct ionalit y Ot hers

Source: Field Investigation

Interpretation

Regular meet ings

Analysis of Software project time overrun

Besides using time tracking tools, 31 of the respondents use Checks and Reviews, 30% use Regular meeting, 25% use Careful planning, 8% Allocates extra resources, 1% reduces functionality to ensure that the projects are delivered on time. Other measures employed include the following: 1. Allocate rightly skilled resources, 2.

Identify and track Milestones

3. Proactively identify the possible risks and take the necessary mitigation steps 4. Good next-level leadership, empowerment, open-communication 5. Buffer management 6. Proper estimation before hand 7. Push back on some non priority requirement(Negotiate soft with customer), 8. Proactive Risk identification and mitigation/management, 9. Proactive Customer reporting 10. Proper allocation of work 11. Backup resources

5.13 Factors responsible for project time overrun The following charts depict the respondentâ&#x20AC;&#x2122;s attitude towards various factors that can be held responsible for project time overrun. Each factor is measured over a scale of four: Certainly Responsible, Responsible to a Great Extent, Responsible to Some Extent and Not Responsible.

Analysis of Software project time overrun

5.13.1 Lack of user input

Lack of user input

4%

37%

36%

Cert ainly

Analysis of Software project time overrun Great ext ent Some ext ent Not responsible

23%

Source: Field Investigation

Interpretation 37% of the respondents feel that lack of user input is to some extent responsible for project time overrun while 36% feel that this factor is certainly responsible. Only 4% feel that lack of user input is not responsible for project time over run.

5.13.2 Incomplete requirements and specifications

Incomplete requirements and specifications

4% 17%

31%

Analysis of Software project time overrun

48%

Cert ainly Great ext ent Some ext ent Not responsible

Source: Field Investigation

Interpretation This factor is considered by the majority of the respondents i.e. 48% of the total, as certainly responsible for project time overruns followed by 31% of respondents who feel that this factor is responsible to a great extent for project time overrun. 17% and 4% voted for responsible to some extent and not responsible respectively. Hence this factor turns out to be a major area of concern.

Analysis of Software project time overrun

5.13.3 Changing requirements and specifications

Changing requirements and specifications

4% 19%

31%

Cert ainly Great ext ent Some ext ent Not responsible

46%

Source: Field Investigation

Interpretation 46% of the respondents consider changing requirements and specifications responsible to a great extent for project time overrun and 31% feel that this factor is certainly responsible. Only 4% feel that this factor is not responsible for project time overrun while 19% feel that it is responsible to some extent. Overall this factor can also be considered as a major area of concern.

Analysis of Software project time overrun

5.13.4 Lack of executive support

Lack of executive support

29% 6% 13%

Cert ainly Great ext ent Some ext ent Not responsible

52%

Analysis of Software project time overrun

Source: Field Investigation

Interpretation Lack of executive support is considered by 52% of respondents as responsible to some extent for project time overruns and 29% feel that it is not responsible. Only 13% and 6% feel that it is responsible to great extent and certainly responsible, respectively.

5.13.5 Technology incompetence

Technology incompetence

13% 15%

41%

31% Cert ainly Great ext ent

Analysis of Software project time overrun Some ext ent Not responsible

Source: Field Investigation

Interpretation 41% of respondents feel that technology incompetence of the team members is to some extent responsible for project time overrun, 31% feel that it is to a great extent responsible,15% feel that it is certainly responsible and 13% feel that it is not responsible for project time over run.

5.13.6 Lack of resources

Lack of resources

Analysis of Software project time overrun

21% 17% 29%

Cert ainly Great ext ent Some ext ent Not responsible

33%

Source: Field Investigation

Interpretation 33% of respondents feel that lack of resources is to great extent responsible for project time overrun, 29% feel that it is certainly responsible, 21% feel that it is responsible to some extent and 17% feel that it is not responsible for project time over run. Again, this factor can be considered as an important factor to take care of to ensure on time delivery of projects.

Analysis of Software project time overrun

5.13.7 Unrealistic expectations

Unrealistic expectations

31% 10%

34%

Cert ainly Great ext ent Some ext ent Not responsible

25%

Source: Field Investigation

Analysis of Software project time overrun

Interpretation 34% of the respondents feel that this factor is certainly responsible for project time overrun while 25% feel that it is responsible to a great extent. Only 10% feel that it is not responsible and 31% feel that it is responsible to some extent. Overall, since majority of respondents feel that it is certainly responsible, this factor is critical to avoid project time overrun.

5.13.8 Unclear objectives

Unclear objectives

38% 10% 27%

Analysis of Software project time overrun 25%

Cert ainly Great ext ent Some ext ent Not responsible

Source: Field Investigation

Interpretation 38% of the respondents feel that unclear objectives are responsible to some extent in causing project time overrun. 27% opted for “Certainly”, 25% opted for “To a great extent” and 10% opted for “Not responsible”.

5.13.9 Unrealistic time frames

Unrealistic time frames

19% 10%

Analysis of Software project time overrun

29%

Cert ainly Great ext ent Some ext ent Not responsible

42%

Source: Field Investigation

Interpretation Majority of the respondents feel that this factor is responsible for project time overruns.

42% voted for responsible “To a great ex tent”, 29% voted for “Certainly” responsible, 19% voted for responsible “To some extent” and only 10% voted for “Not responsible”.

Analysis of Software project time overrun

5.13.10 New technology

New technology

19% 6%

25%

Cert ainly Great ext ent Some ext ent Not responsible

50%

Source: Field Investigation

Interpretation

Analysis of Software project time overrun

Half of the respondents feel that this factor is to some extent responsible while 19% feel that it is not responsible. Only 25% and 6% feel that it is responsible to great extent and certainly responsible, respectively.

5.13.11 Lack of planning

Lack of planning

8%

35%

36%

Cert ainly Great ext ent Some ext ent Not responsible

21%

Source: Field Investigation

Analysis of Software project time overrun

Interpretation A major portion of the respondents consider this factor as very important. 36% feel that it is certainly responsible for project time overrun, 21% feel that it is responsible to a great extent, 35% feel that it is responsible to some extent and only8% feel that this factor is not responsible for project time overrun.

5.13.12 Too many or complicated standards

Too many/complicated standards

27% 12%

17%

Cert ainly

Analysis of Software project time overrun Great ext ent Some ext ent Not responsible

44%

Source: Field Investigation

Interpretation This factor has net been give much importance by the respondents. 44% feel that too many or too complicated standards are to only some extent responsible for project time overrun,27% feel that it is not at all responsible, 17% feel that it is responsible to a great extent while only 12% feel that it is certainly responsible for project time overrun,

Analysis of Software project time overrun

Chapter 6 Summary of findings

Analysis of Software project time overrun

Analysis of Software project time overrun

6.1 Summary of findings

¾ On an average 7 projects were undertaken by the respondents.

¾ On an average 10 person months were spent by the respondents on a project. The time taken ranged between 3 and 36 person months.

¾ On an average the respondents worked in 9 member teams.

¾

Majority of the respondents said that the projects mostly completed on time,

signifying that the project failure due to time overrun has decreased still further from that in the year 2000.

¾

Majority of the respondents agree that the products that they delivered met all the

requirements as per the initial specifications and hence project failure due to the inability to meet all the requirements as per initial specification has also reduced from the same in the year 2000.

¾ Majority of the respondents said that only 10%-30% of the features were added later to the product. Hence we can probably say that the time and effort, both in human effort and in cost, spent on adding new features to the released product have

Analysis of Software project time overrun significantly decreased.

他 A majority of respondents consider managing large teams as not so easy. Thus we can safely say that having large teams working on a project could be a hindrance to the successful completion of the project.

他 Communication was considered by most of the respondents as a major problem in managing the teams. The next most popular problem in handling teams seems to be lack of experience of the team members.

Analysis of Software project time overrun

¾

More training courses for the team members and more project reviews were

considered by the respondents as the most effective ways to overcome the problems faced in managing project teams. Among various other ways that can help make the team management easier, significant emphasis was put on the need for clarification and detailed explanation of the objective of the project and the need for each process and step undertaken to complete the project.

¾ As per the respondents’ replies, delivery time of the project exceeded by at the most 3 months. This is again a significant improvement for the findings in the year 2000.

¾ Majority of the respondents said that they used time tracking or accounting tools to ensure that the project met the deadlines. Most of the tools used were in-house developed. Among the other tools used M/S Office Project, Excel Sheets and Lotus Notes were the most favored ones. However, those that do not use any time tracking or accounting tool constitute a significant proportion. Hence some work needs to be done in this sphere to ensure that such tools are used to effectively manage the software projects.

¾

Checks and reviews and regular meetings were the most used measures adopted to

ensure that the projects met their deadlines. Other measures used include proper allocation of resources, both human and technical resources and Buffer management.

Analysis of Software project time overrun 他 Among the various factors that cause project time overrun, incomplete requirements and specifications is considered to be certainly responsible for such overrun by the respondents. Changing requirements and specifications and unrealistic time frames are considered as to a great extent responsible for project time overrun. Factors like lack of executive support, technology

Analysis of Software project time overrun

incompetence, unclear objectives, new technology and too many or too complicated standards are considered to be responsible to some extent for project time overrun. Other factors received mixed responses for the respondents. Hence we can safely arrange these factors in decreasing order of responsibility as follows: Factors responsible for project time overrun in decreasing order of responsibility

1

Incomplete requirements and specifications

2

Changing requirements and specifications

3

Unrealistic time frames

4

Lack of executive support

5

New technology

6

Too many/complicated standards

7

Technology incompetence

8

Unclear objectives

9

Lack of user input

10

Lack of planning

11

Unrealistic expectations

12

Lack of resources

Analysis of Software project time overrun

Analysis of Software project time overrun

Chapter 7 Recommendations

Analysis of Software project time overrun

Analysis of Software project time overrun

7.1 Recommendations

他

Software project teams should be smaller so that the team members can be easily

managed and there is no problem in communication between the members. 他 Whenever any changes are made to the project such that the features of the product deviate from the initial specifications, a thorough re-planning should be done and extra resources should be employed (or taken away as the case might be) so that the project itself is on schedule. The end user should also be intimated about the changes made and should be made aware of the consequences of such changes made. This will help in reducing the time spent on making further changes to the product once it is released.

他

Extra effort should be made to ensure that all the team members are aware of the

happenings in the team. Effective communication channels should be established. Each member of the team should be informed about the changes in the project. This will help in better understanding and clarification of the project.

他 Every team should have a good balance between its experienced and inexperienced members. Experienced members can guide the inexperienced members. This will help in reducing the development time that would be consumed if the team is made up of only inexperienced members who will learn and then perform. On the other hand if all the members in the team are experienced, there are chances of increased friction between the members. Hence a good balance has to be maintained.

Analysis of Software project time overrun

他 More training courses should be arranged for the team members as well as the team leaders and project managers. The training should be imparted in the technical field as well as in the soft skills field. Training should be designed

Analysis of Software project time overrun

such that the trainees can get information about the new technologies that can be used in their work.

他

Effective, regular and frequent project reviews should be performed so that all the

team members are aware of the happenings in the team. Such reviews will also help in tracking the timely progress of the project.

他 Time tracking or accounting tool should be used to track the project progress. Some recommended tools most widely used are M/S Office Project, Excel Sheets and Lotus Notes.

他 While planning the project schedule, sufficient buffer and back up should be allocated to account for team members going on leave due to ill health, personal emergencies etc and also for training. Often, time spent on training is not taken into consideration while planning the project schedule. This should be accounted for in the schedule.

他 More effort and time should be spent in the project design and specification gathering stages so that the specifications and requirements are complete and absolutely no or very little changes are required to be made during the actual development stage. For this, cooperation from the client is a must. Hence client partnering should be established such that the client developer relationship is based on trust, credibility and relevance.

Analysis of Software project time overrun ž The organizational climate also plays an important role in the performance of its employees. It represents the employeesâ&#x20AC;&#x2122; perceptions of the way thing are done in the organization. The climate that is created in the organization can make a difference between the winning and losing in the market place. The various elements that make up the organizational climate are clarity in mission and direction, improvement in standards, responsibility, autonomy, flexibility, rewards, recognition, team commitment, etc.

Analysis of Software project time overrun

他

Team members should be encouraged to develop adaptability and creative problem

solving techniques.

Analysis of Software project time overrun

Analysis of Software project time overrun

Annexure

Analysis of Software project time overrun

Analysis of Software project time overrun

Questionnaire

Objective: To analyze the reasons behind software project time overruns

1. Name of the organization: 2. Designation: 3. Years of Experience:

< 4years

4-8years

> 8 years

4. Number of Projects undertaken: 5. Average time spent on a typical project (in person months): 6. What was the average team size?

7. Did the project get completed on time?

Always 8.

Mostly

Sometimes

Never

Was the product delivered with all the features/requirements as per initial

specifications?

Yes

No

9. What proportion of features/requirements was added later? <10%

10%-30%

30%-50%

>50%

10. Do you consider managing a large team as Easy

Not so easy

Difficult

Very difficult

Analysis of Software project time overrun

11. What problems do you face in organizing, coordinating and monitoring your team?

Communication

Lack of experience

members Lack of management support

Others

Specify others

Friction between

_

12. What can be done to overcome the above problem?

More training courses

Smaller teams

More

reviews Others

Specify others

13. Delivery times were exceeded by <1 month

1-3 months

3-6 months

>6months

project

Analysis of Software project time overrun

14. Do you use any time tracking/accounting tools?

Yes

No

15. If yes, which?

16. What other measures do you take to ensure that projects meet delivery deadlines?

Regular meetings

Checks and reviews

Careful

planning Allocate extra resources Specify others

Reduce functionality

Others

_

17. To what extent do you consider the following factors responsible for project time overruns?

Factor responsible To a great extent To some extent Not Responsible Lack of user input Incomplete requirements and specifications Changing requirements and specifications Lack of executive support Technology incompetence

Certainly

Analysis of Software project time overrun

Lack of resources Unrealistic expectations Unclear objectives Unrealistic time frames New technology Lack of planning Too many/complicated standards

Select bibliography

Books 1. “Business Research Methods” by Donald R. Cooper and Pamela S. Schindler, by Tata McGraw-Hill Publication 2. “Systems Analysis and D esign Methods” by Jeffery L. Whitten, Lonnie D. Bentley

Analysis of Software project time overrun and Kevin C. Dittman by Tata McGraw-Hill Publication 3. “IT Systems Management” by Rich Schiesser, Prentice Hall of India Pvt. Ltd.

Magazines and Journals 1. P C Quest, June 2005 2. Software Magazine (February/March 2001)

Websites surfed 1. www.google.com 2. www.mamma.com 3. www.agilealliance.org 4. www.softwaremag.com/archive/2001feb/collaborativeMgt.html 5. www.standishgroup.com 6. www.carolla.com 7. www.it-cortex.com 8. www.russellmartin.com

Analysis of Software project time overrun