An indispensable addition to your project management, software engineering or computer science bookshelf, this book illuminates and simplifies otherwise complex topics in ROI. It presents extremely simple, but powerful metrics, models, and methods for designing professional business cases and providing hard-hitting economic justification. It explores the most popular international methods, models, and standards for software process improvement. The author's practical tutorial on the costs, benefits, and ROI of software process improvement is a soup-to-nuts guide that helps readers rapidly master powerful concepts. Rico demystifies esoteric concepts in ROI and provides a self-contained tutorial of ROI methods for novices as well as economic experts and a treasure-trove of value adding economic data which is missing from popular texts. The ROI of Software Process Improvement features a number of free downloads to help continue the learning process outside the pages of the book.
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David F. Rico is a software process improvement consultant specializing in cost, benefit, and return-on-investment analysis. He holds a B.S. in Computer Science and an M.S.A. in Software Engineering and has been in the field of computer programming since 1983. He has been an international keynote speaker and is a well published author. Some of his noteworthy accomplishments include designing software for NASA's $20 billion space station, spearheading SW-CMM® and ISO 9001 initiatives for Fujitsu in Tokyo, modernizing a family of U.S. Air Force static radar ranges, reengineering 36 military logistics depots in Cairo, designing a $30 billion constellation of U.S. Air Force satellites, conducting a $42 million U.S. Navy source selection, designing a $70 million cost model for U.S. Navy aircraft, and participating in over 15 SW-CMM® initiatives.
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Condición: New. KlappentextAn indispensable addition to any project manager, software engineering or computer science bookshelf, this book presents the only broad-ranging economic analysis of major international SPI methods and the first large-scale eco. Nº de ref. del artículo: 597253245
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