- Tapa blanda: 288 páginas
- Editor: John Wiley & Sons, Ltd.; Edición: 1 (1 de abril de 2015)
- Idioma: Inglés
- ISBN-10: 1118954084
- ISBN-13: 978-1118954089
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
- Clasificación en los más vendidos de Amazon: nº89.365 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
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Software Project Estimation: The Fundamentals for Providing High Quality Information to Decision Makers (Inglés) Tapa blanda – 1 abr 2015
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This book introduces theoretical concepts to explain the fundamentals of the design and evaluation of software estimation models. It provides software professionals with vital information on the best software management software out there. * End-of-chapter exercises * Over 100 figures illustrating the concepts presented throughout the book * Examples incorporated with industry data
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.
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.
Additional features of this book are:
- End-of-chapter exercises and terms assignments
- 100+ figures to illustrate concepts presented throughout the book
- Examples with industry data
- References to the ISO standards and the standards of the International Software Benchmarking Standards Group (ISBSG)
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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.
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The book has a web reference which allows readers to download additional supplementary material in the form of slide presentations which help to reinforce understanding of the material in the book. For those organizations that have reached a sufficient level of maturity, this book presents a very clearly written and mathematically based approach to the concept of contingency planning, and how it can be used to manage contingency funding when it is needed.
Alain Abran describes the occurrence of wedge-shaped datasets, and also explains in clear and simple language the definition of extremely useful criteria in software project estimation, such as the coefficient of determination, error of an estimate, and the prediction level of the model. The author also introduces the process that interested users can start to build datasets using the International Software Benchmarking Standards Group (ISBSG), which provides detailed comparisons based on existing benchmarking data from practically every type of software that has been developed from all industries and countries.
This book is a must have for anyone who estimates the cost of software, but more importantly, wishes to develop a productivity benchmarking database.