Software Project Estimation The Fundamentals for Providing High Quality Information to Decision Makers

• Main Author: Abran, Alain
• Format: eBook
• Language: English
• Published: Newark Wiley 2015; John Wiley & Sons, Incorporated; IEEE Computer Society, John Wiley & Sons, Inc
• Edition: 1
• Subjects: Computer software; Computer software–Development–Estimates; COMPUTERS; Computing and Processing; Development; Estimates; General Topics for Engineers; Project Management; Software Development & Engineering; software projects management; Software estimation; and software process improvements; software project audits; software projects estimation; software metrics
• ISBN: 9781118954089; 1118954084; 9781118959305; 1118959302; 9781118959329; 1118959329
• DOI: 10.1002/9781118959312

<p>Software projects are often late and over-budget and this leads to major problems for software customers. Clearly, there is a serious issue in estimating a realistic, software project budget. Furthermore, generic estimation models cannot be trusted to provide credible estimates for projects as complex as software projects.<br /> <br /> This book presents a number of examples using data collected over the years from various organizations building software. It also presents an overview of the non-for-profit organization, which collects data on software projects, the International Software Benchmarking Standards Group. This data collection is based on the ISO standards for measuring the functional size of software.<br /> <br /> Additional features of this book are:<br /> <br /> </p> <ul> <li>End-of-chapter exercises and ‘terms assignments’</li> <li>100+ figures to illustrate concepts presented throughout the book</li> <li>Examples with industry data</li> <li>References to the ISO standards and the standards of the International Software Benchmarking Standards Group (ISBSG)</li> </ul> <p><br /> In summary, Dr. Abran instructs readers how to build their own estimation models from the data of an organization using a sounds statistical basis, and how to focus on the quality of the estimation models built.</p>