Value-Based Software Engineering

Value-Based Software Engineering
Author :
Publisher : Springer Science & Business Media
Total Pages : 399
Release :
ISBN-10 : 9783540292630
ISBN-13 : 3540292632
Rating : 4/5 (632 Downloads)

Book Synopsis Value-Based Software Engineering by : Stefan Biffl

Download or read book Value-Based Software Engineering written by Stefan Biffl and published by Springer Science & Business Media. This book was released on 2006-02-23 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The IT community has always struggled with questions concerning the value of an organization’s investment in software and hardware. It is the goal of value-based software engineering (VBSE) to develop models and measures of value which are of use for managers, developers and users as they make tradeoff decisions between, for example, quality and cost or functionality and schedule – such decisions must be economically feasible and comprehensible to the stakeholders with differing value perspectives. VBSE has its roots in work on software engineering economics, pioneered by Barry Boehm in the early 1980s. However, the emergence of a wider scope that defines VBSE is more recent. VBSE extends the merely technical ISO software engineering definition with elements not only from economics, but also from cognitive science, finance, management science, behavioral sciences, and decision sciences, giving rise to a truly multi-disciplinary framework. Biffl and his co-editors invited leading researchers and structured their contributions into three parts, following an introduction into the area by Boehm himself. They first detail the foundations of VBSE, followed by a presentation of state-of-the-art methods and techniques. The third part demonstrates the benefits of VBSE through concrete examples and case studies. This book deviates from the more anecdotal style of many management-oriented software engineering books and so appeals particularly to all readers who are interested in solid foundations for high-level aspects of software engineering decision making, i.e., to product or project managers driven by economics and to software engineering researchers and students.

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