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Rethinking Productivity in Software Engineering
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  • Title: Rethinking Productivity in Software Engineering
  • Author(s) Caitlin Sadowski, Thomas Zimmermann
  • Publisher: Apress; 1st ed. (May 7, 2019); eBook (Creative Commons Licensed)
  • License(s): CC BY 4.0
  • Hardcover/Paperback: 340 pages
  • eBook: PDF and ePub
  • Language: English
  • ISBN-10: 1484242203
  • ISBN-13: 978-1484242209
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Book Description

This open access book collects the wisdom of a 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.

It covers 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 this book. 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.

About the Authors
  • 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.
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