Abstract

Objectives: To identify the most common success factors through reviewing a set of software project reports and case studies. Methods/Statistical Analysis: In order to fully understand reasons behind the project success, the reasons behind project failure and the definition of failure itself are discussed. Furthermore, case studies of successful and failed software projects are described. This paper also investigates techniques that have been developed to increase software project success rate and decrease probable failures. Findings: Six common factors reported in various studies and reports are selected to construct a success factors list. Factors that affect the project success or failure are identified for each project through content reviewing and analysis. Multiple reports and sources were reviewed for some projects to assure the accurate identification. We note that each of the identified success factors is common in at least four projects of this sample, and there is no project success for single factor. The frequencies of success factors for our data which contains 236 software projects are founded. The median number of projects for each factor is 103; with minimum of 72 and maximum of 131. For the investigated projects, the better project had significantly more success factors. We note that there is no successful project had just one success factor; all projects had multiple factors that led to their success. Application/Improvements: The constructed success factors list will be used in further research to develop prediction models that can be applied early through software development process in order to avoid project failure risks. Keywords: Project Performance, Software Project Failure, Software Project Success, Success Factors, Success Rate

Highlights

  • According to Standish study[1], the successful software project can be defined as the project that meets its planned objectives, delivered on time, and developed within the estimated budget

  • A low success means that the project performance is below average compared to the other similar projects in general

  • The six common factors reported in these five studies are selected to construct our success factors list

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Summary

Introduction

According to Standish study[1], the successful software project can be defined as the project that meets its planned objectives, delivered on time, and developed within the estimated budget. Four levels to describe the project success: low, successful, high, and exceptionally colud be defined[3]. A low success means that the project performance (quality, cost, schedule, and effort) is below average compared to the other similar projects in general. The project is exceptionally successful if it meets the required quality, budget, schedule and effort. With an average of only 35 percent, the software projects were successful

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