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Rethinking Productivity in Software Engineering, 1st ed.

Langue : Anglais

Coordonnateurs : Sadowski Caitlin, Zimmermann Thomas

Couverture de l’ouvrage Rethinking Productivity in Software Engineering
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 Learn
  • Review 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.
Rethinking Productivity in Software Engineering

Part 1 ​Introduction to Productivity
1.The mythical 10x engineer
2. No free lunch: The argument against a single metric for measuring productivity of software developers

Part 2 Measuring Productivity
3. Why not to measure productivity
4. Defining productivity in software engineering
5. A Software Development Productivity Framework
6. Individual, Team, Organization, and Market: Four Lenses of Productivity

Part 3 Measuring Productivity in Practice
7. Software Productivity Through the Lens of Knowledge Work
8. Factors That Influence Productivity - A Checklist
9. How Do Interruptions Affect Productivity?
10. Happiness and Productivity of Software Engineers
11. Dark Agile: Perceiving People as Assets Not Humans
12. Developers' Diverging Perceptions of Productivity
13. Human-Centered Methods to Boost Productivity

Part 4 Best Practices and Pitfalls
14. Using Biometric Sensors to Measure Productivity
15. How Team Awareness Influences Perceptions of Developer Productivity

Part 5 Theory of Productivity
16. Software Engineering Dashboard: Types, Risks, and Future
17. The COSMIC Method for Measuring the Work-Output Component of Productivity
18. Benchmarking: Comparing Apples to Apples
19. Removing Software Development Waste to Improve Productivity
20. Organizational Maturity: The Elephant Affecting Productivity
21. Does Pair Programming Pay Off?
22: Fitbit for Developers: Self-Monitoring at Work
23: Reducing Interruptions at Word with FlowLight
24: Enabling Productive Software Development by Improving Information Flow
25: Mindfulness as a Potential Tool for Productivity

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).
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

Date de parution :

Ouvrage de 306 p.

17.8x25.4 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

52,74 €

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