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  • Book
  • Open Access
  • © 2019

Rethinking Productivity in Software Engineering

  • 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

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (25 chapters)

  1. Measuring Productivity in Practice

    1. Software Engineering Dashboards: Types, Risks, and Future

      • Margaret-Anne Storey, Christoph Treude
      Pages 179-190Open Access
    2. Benchmarking: Comparing Apples to Apples

      • Frank Vogelezang, Harold van Heeringen
      Pages 205-217Open Access
  2. Best Practices for Productivity

    1. Front Matter

      Pages 219-219
    2. Removing Software Development Waste to Improve Productivity

      • Todd Sedano, Paul Ralph, Cécile Péraire
      Pages 221-240Open Access
    3. Does Pair Programming Pay Off?

      • Franz Zieris, Lutz Prechelt
      Pages 251-259Open Access
    4. Fitbit for Developers: Self-Monitoring at Work

      • André N. Meyer, Thomas Fritz, Thomas Zimmermann
      Pages 261-270Open Access
    5. Reducing Interruptions at Work with FlowLight

      • Manuela Züger, André N. Meyer, Thomas Fritz, David Shepherd
      Pages 271-279Open Access
    6. Enabling Productive Software Development by Improving Information Flow

      • Gail C. Murphy, Mik Kersten, Robert Elves, Nicole Bryan
      Pages 281-292Open Access
    7. Mindfulness as a Potential Tool for Productivity

      • Marieke van Vugt
      Pages 293-302Open Access
  3. Back Matter

    Pages 303-310

About this book

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.


  • Software Engineering
  • Software Development
  • Productivity
  • Agile
  • Software best practices
  • Dashboards
  • Neuroscience
  • Knowledge workers
  • Software management
  • Open Access

Editors and Affiliations

  • Mountain View, USA

    Caitlin Sadowski

  • Bellevue, USA

    Thomas Zimmermann

About the editors

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.

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).   

Bibliographic Information

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)