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by Caitlin Sadowski (Editor), Thomas Zimmermann (Editor)
Collects the wisdom of software engineering thought leaders in a form digestible for any developer
Shares hard-won best practices and pitfalls to avoid
An up to date look at current practices in software engineering productivity
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Get the most out of this Open Access 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.
Author Biography
The authors and chapters of this book derive from a recent Dagstuhl seminar on software productivity and represent the wisdom of leading software engineers and researchers.
Editors: Caitlin Sadowski is a Software Engineer at Google with a team focused on understanding engineer productivity. She is also a committee member for many the top software engineering conferences including the flagship ICSE and FSE, OOPSLA, and PLDI.
Thomas Zimmermann is a Senior Researcher at Microsoft Research with more than 50 related publications. He has served as Co-Editor in Chief of Empirical Software Engineering and on the editorial boards of IEEE Transactions on Software Engineering, IEEE Software, and Software: Evolution and Process. He is a committee member for top software engineering conferences and previously edited books on recommender systems (Springer) and data science in software engineering (Morgan Kaufmann).
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