Practical Project Estimation 2nd edition
This expanded and improved edition is designed to help you with the every day challenge of estimating software projects. The toolkit is based on the utilisation of the project data collected by the International Software Benchmarking Standards Group, (ISBSG). We explain different estimation techniques and show you how to complete estimates using the different techniques. We have provided estimation equations and project delivery rate tables so that you can use these to estimate your projects. We also discuss actual estimating experiences from the completed projects contained in the ISBSG software project Repository. The Repository contains data from more than 3,000 completed projects from around the world.
Whether you are looking for a quick indicative estimate for a feasibility report, a detailed estimate for a quotation or capital expenditure request, or a way to standardise and formalise your quoting, this book will prove to be invaluable.
This book has been developed for those professionals who face the day to day challenge of coming up with accurate estimates for effort and duration of software projects. Readers are not expected to be knowledgeable of, or proficient in use of functional size measurement. For those who are interested, there are chapters that provide simple explanations and examples of how to measure project size using functional size measures.
As well as the professionals who produce estimates, other system developers, project managers, students and lecturers should find a wealth of useful information in the book.
The Estimation Toolkit can be ordered from your local ISBSG member metrics organisation, or direct from this web site |
| “The Practical Project Estimation Toolkit takes the mystery out of estimating. It clearly explains the factors which impact project budgets and schedules and to what extent. Unlike many of the estimating tools on the market which derive their estimates from hidden algorithms and unknown source data, the Toolkit discloses its algorithms, all of which are based on statistical analysis of publicly available data. Knowing the algorithms enables us to adjust and verify the estimates it produces. Project Managers with no previous training in estimation can pick up the toolkit and confidently use it to develop estimates for their next project, knowing that their estimates are supported by quantitative industry experience.”
Pam Morris,
Principal,
Total Metrics |
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