Content Description #Includes bibliographical references and indexes.

Software Metrics, 2/e is ideal for undergraduate and graduates studying a course in software metrics or software quality assurance. It also provides an excellent resource for practitioners in industry.

Software projects today are often characterized by poor quality, schedule overruns and high costs. Hence project decision makers need an objective and validated measurement framework to allocate limited resources and to track project progress. In this backdrop, based on the Goal-Question-Metric (GQM) model, Prashanth Harish Southekal has come up with eight generic objective measures for the project stakeholders to base their corrective actions for successful project delivery . The measurement framework is validated (i) theoretically with measurement theory criteria and (ii) empirically with case studies (Controlled and Uncontrolled) including a global survey representing industry practitioners from 29 countries.

Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering. Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions. What You'll LearnReview the definitions and dimensions of software productivity See how time management is having the opposite of the intended effect Develop valuable dashboards Understand the impact of sensors on productivity Avoid software development waste Work with human-centered methods to measure productivity Look at the intersection of neuroscience and productivity Manage interruptions and context-switching Who Book Is For Industry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology.

This book brings together work of some of the highest authorities in the field of software measurement and software metrics. It has three main aims: To provide a history of software metrics; to provide a formal foundation for software measurement and software metrics; and to increase the applications of software metrics and to study the development of metrics for non-imperative languages, for example object-oriented and logic-based languages, and for non-code documents, such as specification documents. Intended for academic and professional researchers as well as students of software engineering, Software Measurement offers a framework within which current and future work in software measurement can be effectively and reliably understood and completed. Readers will gain a more comprehensive understanding of software and the discipline behind it, i.e., software engineering, and thus be better able to create and maintain more complex and efficient software.

Contains contributions from well-known experts from around the world in the field of software metrics

Managing Software Quality discusses the methods involved in the integration of process, document and code indicators when constructing an evolving picture of quality. Throughout the book the authors describe experiences gained in a four-year on-site validation of the framework, making this book particularly useful for project or program managers, software managers and software engineers. In particular they provide guidance to those in software development and software support who are interested in establishing a measurement programme that includes software quality prediction and assessment. The authors share numerous valuable lessons learned during the research and applications of software quality management.