Includes bibliographical references and index.

Part 1: Foundations and Frameworks Value-Based Software Engineering: Overview and Agenda - An Initial Theory of Value-Based Software Engineering - Valuation of Software Initiatives under Uncertainty: Concepts, Issues, and Techniques - Prefernce-Based Decision Support in Software Engineering - Risk and The Economic Value of The Software Producer Part 2: Practices Value-Based Software Engineering: Seven Key Elements and Ethical Considerations - Stakehol'der Value Proposition, Elicitation, and Reconciliation - Measurement and Decision Making -Criteria for Selecting Software Requirements to Cretae Product Value: An Industrial Empirical Study - Collaborative Usability Testing to Facilitate Stakeholder Involvement Value-Based Management of Software Testing Part 3: Applications Decision Support for Value-Based Software Release Planning - PROSIM/RA Software Process Simulation Support of Risk Assessment - Tailoring Software Traceability to Value-Based Needs - Value-Based Knowledge Management: The Contribution of Group Processes - Quantifying The Value of New Technologies for Software Development - Valuing Software Intellectual Property Glossary

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, behavioural 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.