Rethinking Productivity in Software Engineering. Este artículo no está disponible.
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Idioma: inglés
Editorial: APress, 2019
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N° de ref. del artículo B9781484242209
- Título
- Rethinking Productivity in Software Engineering
- Autor
- Caitlin Sadowski
- Editorial
- APress
- Año de publicación
- 2019
- Estado
- New
- Encuadernación
- Paperback / softback
- Idioma
- inglés
- ISBN 10
- 1484242203
- ISBN 13
- 9781484242209
- Peso del artículo
- 706 gramos
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.
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Acerca del autor
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).
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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