© 2019

Rethinking Productivity in Software Engineering

  • Caitlin Sadowski
  • Thomas Zimmermann
  • 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

Open Access

Table of contents

  1. Front Matter
    Pages i-xxviii
  2. Measuring Productivity: No Silver Bullet

    1. Front Matter
      Pages 1-1
    2. Lutz Prechelt
      Pages 3-11 Open Access
    3. Ciera Jaspan, Caitlin Sadowski
      Pages 13-20 Open Access
    4. Amy J. Ko
      Pages 21-26 Open Access
  3. Introduction to Productivity

    1. Front Matter
      Pages 27-27
    2. Stefan Wagner, Florian Deissenboeck
      Pages 29-38 Open Access
    3. Caitlin Sadowski, Margaret-Anne Storey, Robert Feldt
      Pages 39-47 Open Access
    4. Emerson Murphy-Hill, Stefan Wagner
      Pages 57-65 Open Access
  4. The Context of Productivity

    1. Front Matter
      Pages 67-67
    2. Stefan Wagner, Emerson Murphy-Hill
      Pages 69-84 Open Access
    3. Duncan P. Brumby, Christian P. Janssen, Gloria Mark
      Pages 85-107 Open Access
    4. Daniel Graziotin, Fabian Fagerholm
      Pages 109-124 Open Access
    5. Pernille Bjørn
      Pages 125-134 Open Access
  5. Measuring Productivity in Practice

    1. Front Matter
      Pages 135-135
    2. André N. Meyer, Gail C. Murphy, Thomas Fritz, Thomas Zimmermann
      Pages 137-146 Open Access
    3. Brad A. Myers, Amy J. Ko, Thomas D. LaToza, YoungSeok Yoon
      Pages 147-157 Open Access
    4. Marieke van Vugt
      Pages 159-167 Open Access
    5. Christoph Treude, Fernando Figueira Filho
      Pages 169-178 Open Access

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

  • Caitlin Sadowski
    • 1
  • Thomas Zimmermann
    • 2
  1. 1.Mountain ViewUSA
  2. 2.BellevueUSA

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