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Rethinking Productivity in Software Engineering
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| Personen und Körperschaften: | , |
|---|---|
| Titel: | Rethinking Productivity in Software Engineering/ edited by Caitlin Sadowski, Thomas Zimmermann |
| Format: | E-Book |
| Sprache: | Englisch |
| veröffentlicht: |
Berkeley, CA
Apress
2019
|
| Gesamtaufnahme: |
Springer eBooks Springer eBook Collection |
| Schlagwörter: | |
| Erscheint auch als: | Rethinking Productivity in Software Engineering, New York : Apress open, 2019, xxviii, 310 Seiten |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 520 | |a Part I: Introduction to Productivity -- Chapter 1. The Mythical 10x Programmer -- Chapter 2. No Single Metric Captures Productivity -- Chapter 3. Why We Should Not Measure Productivity -- Part II: Introduction to Productivity -- Chapter 4. Defining Productivity in Software Engineering -- Chapter 5. A Software Development Productivity Framework -- Chapter 6. Individual, Team, Organization, and Market: Four Lenses of Productivity -- Chapter 7. Software Productivity Through the Lens of Knowledge Work -- Part III: The Context of Productivity -- Chapter 8. Factors That Influence Productivity: A Checklist -- Chapter 9. How Do Interruptions Affect Productivity? -- Chapter 10. Happiness and the Productivity of Software Engineers -- Chapter 11. Dark Agile: Perceiving People as Assets Not Humans -- Part IV: Measuring Productivity in Practice -- Chapter 12. Developers' Diverging Perceptions of Productivity -- Chapter 13. Human-Centered Methods to Boost Productivity -- Chapter 14. Using Biometric Sensors to Measure Productivity -- Chapter 15. How Team Awareness Influences Perceptions of Developer Productivity -- Chapter 16. Software Engineering Dashboard: Types, Risks, and Future -- Chapter 17. The COSMIC Method for Measuring the Work-Output Component of Productivity -- Chapter 18. Benchmarking: Comparing Apples to Apples -- Part V: Best Practices for Productivity -- Chapter 19. Removing Software Development Waste to Improve Productivity -- Chapter 20. Organizational Maturity: The Elephant Affecting Productivity -- Chapter 21. Does Pair Programming Pay Off? -- Chapter 22: Fitbit for Developers: Self-Monitoring at Work -- Chapter 23: Reducing Interruptions at Word with FlowLight -- Chapter 24: Enabling Productive Software Development by Improving Information Flow -- Chapter 25: Mindfulness as a Potential Tool for Productivity | ||
| 520 | |a 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 | ||
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| contents | Part I: Introduction to Productivity -- Chapter 1. The Mythical 10x Programmer -- Chapter 2. No Single Metric Captures Productivity -- Chapter 3. Why We Should Not Measure Productivity -- Part II: Introduction to Productivity -- Chapter 4. Defining Productivity in Software Engineering -- Chapter 5. A Software Development Productivity Framework -- Chapter 6. Individual, Team, Organization, and Market: Four Lenses of Productivity -- Chapter 7. Software Productivity Through the Lens of Knowledge Work -- Part III: The Context of Productivity -- Chapter 8. Factors That Influence Productivity: A Checklist -- Chapter 9. How Do Interruptions Affect Productivity? -- Chapter 10. Happiness and the Productivity of Software Engineers -- Chapter 11. Dark Agile: Perceiving People as Assets Not Humans -- Part IV: Measuring Productivity in Practice -- Chapter 12. Developers' Diverging Perceptions of Productivity -- Chapter 13. Human-Centered Methods to Boost Productivity -- Chapter 14. Using Biometric Sensors to Measure Productivity -- Chapter 15. How Team Awareness Influences Perceptions of Developer Productivity -- Chapter 16. Software Engineering Dashboard: Types, Risks, and Future -- Chapter 17. The COSMIC Method for Measuring the Work-Output Component of Productivity -- Chapter 18. Benchmarking: Comparing Apples to Apples -- Part V: Best Practices for Productivity -- Chapter 19. Removing Software Development Waste to Improve Productivity -- Chapter 20. Organizational Maturity: The Elephant Affecting Productivity -- Chapter 21. Does Pair Programming Pay Off? -- Chapter 22: Fitbit for Developers: Self-Monitoring at Work -- Chapter 23: Reducing Interruptions at Word with FlowLight -- Chapter 24: Enabling Productive Software Development by Improving Information Flow -- Chapter 25: Mindfulness as a Potential Tool for Productivity, 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 |
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| spelling | Rethinking Productivity in Software Engineering edited by Caitlin Sadowski, Thomas Zimmermann, Berkeley, CA Apress 2019, 1 Online-Ressource (XXVIII, 310 p. 50 illus), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Springer eBooks Professional and Applied Computing, Springer eBook Collection, Open Access, Part I: Introduction to Productivity -- Chapter 1. The Mythical 10x Programmer -- Chapter 2. No Single Metric Captures Productivity -- Chapter 3. Why We Should Not Measure Productivity -- Part II: Introduction to Productivity -- Chapter 4. Defining Productivity in Software Engineering -- Chapter 5. A Software Development Productivity Framework -- Chapter 6. Individual, Team, Organization, and Market: Four Lenses of Productivity -- Chapter 7. Software Productivity Through the Lens of Knowledge Work -- Part III: The Context of Productivity -- Chapter 8. Factors That Influence Productivity: A Checklist -- Chapter 9. How Do Interruptions Affect Productivity? -- Chapter 10. Happiness and the Productivity of Software Engineers -- Chapter 11. Dark Agile: Perceiving People as Assets Not Humans -- Part IV: Measuring Productivity in Practice -- Chapter 12. Developers' Diverging Perceptions of Productivity -- Chapter 13. Human-Centered Methods to Boost Productivity -- Chapter 14. Using Biometric Sensors to Measure Productivity -- Chapter 15. How Team Awareness Influences Perceptions of Developer Productivity -- Chapter 16. Software Engineering Dashboard: Types, Risks, and Future -- Chapter 17. The COSMIC Method for Measuring the Work-Output Component of Productivity -- Chapter 18. Benchmarking: Comparing Apples to Apples -- Part V: Best Practices for Productivity -- Chapter 19. Removing Software Development Waste to Improve Productivity -- Chapter 20. Organizational Maturity: The Elephant Affecting Productivity -- Chapter 21. Does Pair Programming Pay Off? -- Chapter 22: Fitbit for Developers: Self-Monitoring at Work -- Chapter 23: Reducing Interruptions at Word with FlowLight -- Chapter 24: Enabling Productive Software Development by Improving Information Flow -- Chapter 25: Mindfulness as a Potential Tool for Productivity, 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, Programming Languages, Compilers, Interpreters, Computer science, Management information systems, Programming languages (Electronic computers)., Compilers (Computer programs)., Software engineering—Management., s (DE-588)4047364-8 (DE-627)106194763 (DE-576)209073373 Produktivität gnd, (DE-627), Sadowski, Caitlin HerausgeberIn edt, Zimmermann, Thomas HerausgeberIn edt, 9781484242209, Erscheint auch als Druck-Ausgabe 978-1-4842-4220-9, Erscheint auch als Druck-Ausgabe Rethinking Productivity in Software Engineering New York : Apress open, 2019 xxviii, 310 Seiten (DE-627)103162497X 1484242203 9781484242209, https://doi.org/10.1007/978-1-4842-4221-6 X:SPRINGER Resolving-System kostenfrei, https://swbplus.bsz-bw.de/bsz1666720216cov.jpg V:DE-576 X:SPRINGER image/jpeg 20191219160510 Cover, https://doi.org/10.1007/978-1-4842-4221-6 DE-14, DE-14 epn:3588582002 2020-02-06T11:14:47Z, https://doi.org/10.1007/978-1-4842-4221-6 Online-Zugriff DE-15, DE-15 epn:3481020511 2019-06-04T17:11:15Z, https://doi.org/10.1007/978-1-4842-4221-6 DE-Ch1, DE-Ch1 epn:3481020562 2019-07-09T14:30:04Z, DE-Zwi2 epn:3481020589 del:202301280133, https://doi.org/10.1007/978-1-4842-4221-6 Zum Online-Dokument DE-Zi4, DE-Zi4 epn:4104249947 2023-07-24T09:45:37Z, DE-L189 epn:3481020597 2019-06-04T17:11:16Z, https://doi.org/10.1007/978-1-4842-4221-6 LFER, LFER epn:3498497839 2019-07-22T00:00:00Z |
| spellingShingle | Rethinking Productivity in Software Engineering, Part I: Introduction to Productivity -- Chapter 1. The Mythical 10x Programmer -- Chapter 2. No Single Metric Captures Productivity -- Chapter 3. Why We Should Not Measure Productivity -- Part II: Introduction to Productivity -- Chapter 4. Defining Productivity in Software Engineering -- Chapter 5. A Software Development Productivity Framework -- Chapter 6. Individual, Team, Organization, and Market: Four Lenses of Productivity -- Chapter 7. Software Productivity Through the Lens of Knowledge Work -- Part III: The Context of Productivity -- Chapter 8. Factors That Influence Productivity: A Checklist -- Chapter 9. How Do Interruptions Affect Productivity? -- Chapter 10. Happiness and the Productivity of Software Engineers -- Chapter 11. Dark Agile: Perceiving People as Assets Not Humans -- Part IV: Measuring Productivity in Practice -- Chapter 12. Developers' Diverging Perceptions of Productivity -- Chapter 13. Human-Centered Methods to Boost Productivity -- Chapter 14. Using Biometric Sensors to Measure Productivity -- Chapter 15. How Team Awareness Influences Perceptions of Developer Productivity -- Chapter 16. Software Engineering Dashboard: Types, Risks, and Future -- Chapter 17. The COSMIC Method for Measuring the Work-Output Component of Productivity -- Chapter 18. Benchmarking: Comparing Apples to Apples -- Part V: Best Practices for Productivity -- Chapter 19. Removing Software Development Waste to Improve Productivity -- Chapter 20. Organizational Maturity: The Elephant Affecting Productivity -- Chapter 21. Does Pair Programming Pay Off? -- Chapter 22: Fitbit for Developers: Self-Monitoring at Work -- Chapter 23: Reducing Interruptions at Word with FlowLight -- Chapter 24: Enabling Productive Software Development by Improving Information Flow -- Chapter 25: Mindfulness as a Potential Tool for Productivity, 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, Programming Languages, Compilers, Interpreters, Computer science, Management information systems, Programming languages (Electronic computers)., Compilers (Computer programs)., Software engineering—Management., Produktivität |
| title | Rethinking Productivity in Software Engineering |
| title_auth | Rethinking Productivity in Software Engineering |
| title_full | Rethinking Productivity in Software Engineering edited by Caitlin Sadowski, Thomas Zimmermann |
| title_fullStr | Rethinking Productivity in Software Engineering edited by Caitlin Sadowski, Thomas Zimmermann |
| title_full_unstemmed | Rethinking Productivity in Software Engineering edited by Caitlin Sadowski, Thomas Zimmermann |
| title_short | Rethinking Productivity in Software Engineering |
| title_sort | rethinking productivity in software engineering |
| title_unstemmed | Rethinking Productivity in Software Engineering |
| topic | Programming Languages, Compilers, Interpreters, Computer science, Management information systems, Programming languages (Electronic computers)., Compilers (Computer programs)., Software engineering—Management., Produktivität |
| topic_facet | Programming Languages, Compilers, Interpreters, Computer science, Management information systems, Programming languages (Electronic computers)., Compilers (Computer programs)., Software engineering—Management., Produktivität |
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