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Umfang: 1 Online-Ressource (xxviii, 310 Seiten) , 50 Illustrationen und Diagramme

ISBN: 9781484242216

Anmerkung: Literaturangaben

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-1-4842-4220-9

Sprache: Englisch

Fachgebiete: Informatik

Schlagwort(e): Software Engineering ; Produktivität ; Aufsatzsammlung

DOI: 10.1007/978-1-4842-4221-6

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Umfang: 1 online resource (XXVIII, 310 p. 50 illus.)

Ausgabe: 1st ed. 2019.

ISBN: 9781484242216 , 1484242211

Inhalt: 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.

Anmerkung: 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. , English

Weitere Ausg.: ISBN 9781484242209

Weitere Ausg.: ISBN 1484242203

Sprache: Englisch

DOI: 10.1007/978-1-4842-4221-6

UID:

Umfang: 1 online resource (320 pages)

Ausgabe: 1st ed.

ISBN: 9781484242216

Anmerkung: Intro -- Table of Contents -- About the Editors -- Acknowledgments -- Introduction -- Part I: Measuring Productivity: No Silver Bullet -- Chapter 1: The Mythical 10x Programmer -- Some Work Time Variability Data -- Insisting on Homogeneity -- Deciding What We Even Mean -- Uninsisting on Homogeneity -- Questioning the Base Population -- It's Not Only About Development Effort -- Are Slower Programmers Just More Careful? -- Secondary Factors Can Be Important -- The Productivity Definition Revisited -- How Would Real People Work? -- So What? -- Key Ideas -- References -- Chapter 2: No Single Metric Captures Productivity -- What's Wrong with Measuring Individual Performers? -- Why Do People Want to Measure Developer Productivity? -- What's Inherently Wrong with a Single Productivity Metric? -- Productivity Is Broad -- Flattening/Combining Components of a Single Aspect Is Challenging -- Confounding Factors -- What Do We Do Instead at Google? -- Key Ideas -- References -- Chapter 3: Why We Should Not Measure Productivity -- Unintended Consequences -- Explaining Productivity -- Dealing with Change -- Managers as Measurers -- Key Ideas -- Part II: Introduction to Productivity -- Chapter 4: Defining Productivity in Software Engineering -- A Short History of Software Productivity -- Terminology in the General Literature -- Productivity -- Profitability -- Performance -- Efficiency and Effectiveness -- Influence of Quality -- An Integrated Definition of Software Productivity -- Summary -- Key Ideas -- Acknowledgements -- References -- Chapter 5: A Software Development Productivity Framework -- Productivity Dimensions in Software Development -- Velocity -- Quality -- Satisfaction -- Lenses -- The Productivity Framework in Action: Articulating Goals, Questions, and Metrics -- Example 1: Improving Productivity Through an Intervention. , Productivity Goal 1: Improve Productivity at the Individual and Team Levels Through the Introduction of a New Continuous Integration System -- Example 2: Understanding How Meetings Impact Productivity -- Productivity Goal 2: Develop an Understanding of How Meetings May Impact Productivity -- Caveats -- Key Ideas -- References -- Chapter 6: Individual, Team, Organization, and Market: Four Lenses of Productivity -- The Individual -- The Team -- The Organization -- The Market -- Full-Spectrum Productivity -- Key Ideas -- References -- Chapter 7: Software Productivity Through the Lens of Knowledge Work -- A Brief History of Knowledge Work -- Techniques for Measuring Productivity -- Outcome-Oriented Techniques -- Process-Oriented Techniques -- People-Oriented Techniques -- Multi-oriented Techniques -- Drivers That Influence Productivity -- Software Developers vs. Knowledge Workers: Similar or Different? -- Summary -- Key Ideas -- References -- Part III: The Context of Productivity -- Chapter 8: Factors That Influence Productivity: A Checklist -- Introduction -- A Brief History of Productivity Factors Research -- The List of Technical Factors -- Product Factors -- Process Factors -- Development Environment -- The List of Soft Factors -- Corporate Culture -- Team Culture -- Individual Skills and Experiences -- Work Environment -- Project -- Summary -- Key Ideas -- Acknowledgments -- Appendix: Review Design -- References -- Chapter 9: How Do Interruptions Affect Productivity? -- Introduction -- Controlled Experiments -- What Is the Aim of an Experiment? -- A Typical Interruptions Experiment -- How Is Disruptiveness of an Interruption Measured? -- Interruptions Cause Errors -- Moving Controlled Experiments Out of the Lab -- Summary: Controlled Experiments -- Cognitive Models -- What Are Cognitive Models?. , What Can Cognitive Models Predict About the Impact of Interruptions on Productivity? -- Summary: Cognitive Models -- Observational Studies -- Observational Studies of the Workplace -- Benefits and Detriments of Interruptions -- Stress, Individual Differences, and Interruptions -- Productivity -- Strategies for Dealing with Interruptions -- Summary: Observational Studies -- Key Insights -- Key Ideas -- Acknowledgments -- References -- Chapter 10: Happiness and the  Productivity of Software Engineers -- Why the Industry Should Strive for Happy Developers -- What Is Happiness, and How Do We Measure It? -- Scientific Grounds of Happy and Productive Developers -- How Happy Are Software Developers? -- What Makes Developers Unhappy? -- What Happens When Developers Are Happy (or Unhappy)? -- Cognitive Performance -- Flow -- Motivation and Withdrawal -- Happiness and Unhappiness, and How They Relate to the Productivity of Developers -- Are Happy Developers More Productive? -- Potential Impacts of Happiness on Other Outcomes -- What Does the Future Hold? -- Further Reading -- Key Ideas -- References -- Chapter 11: Dark Agile: Perceiving People As Assets, Not Humans -- Revisiting the Agile Manifesto -- Agile in Global Outsourcing Setups -- Tracking Work to Increase Productivity -- Daily Stand-Up Meeting to Monitor Productivity -- Stressful Work Environment -- Cost of Productivity -- Open Questions for Productivity in Software Engineering -- Key Ideas -- Acknowledgments -- References -- Part IV: Measuring Productivity in Practice -- Chapter 12: Developers' Diverging Perceptions of Productivity -- Quantifying Productivity: Measuring vs. Perceptions -- Studying Software Developers' Productivity Perceptions -- The Cost of Context Switching -- A Productive Workday in a Developer's Life -- Developers Expect Different Measures for Quantifying Productivity. , Characterizing Software Developers by Perceptions of Productivity -- Opportunities for Improving Developer Productivity -- Key Ideas -- References -- Chapter 13: Human-Centered Methods to Boost Productivity -- Key Ideas -- References -- Chapter 14: Using Biometric Sensors to Measure Productivity -- Operationalizing Productivity for Measurement -- What the Eye Says About Focus -- Observing Attention with EEG -- Measuring Rumination -- Moving Forward -- Key Ideas -- References -- Chapter 15: How Team Awareness Influences Perceptions of Developer Productivity -- Introduction -- Awareness and Productivity -- Enabling Awareness in Collaborative Software Development -- Aggregating Awareness Information into Numbers -- Aggregating Awareness Information into Text -- Rethinking Productivity and Team Awareness -- Key ideas -- References -- Chapter 16: Software Engineering Dashboards: Types, Risks, and Future -- Introduction -- Dashboards in Software Engineering -- Developer Activity -- Team Performance -- Project Monitoring and Performance -- Community Health -- Summary -- Risks of Using Dashboards -- Rethinking Dashboards in Software Engineering -- Key Ideas -- References -- Chapter 17: The COSMIC Method for  Measuring the Work-Output Component of Productivity -- Measurement of Functional Size -- The COSMIC Method -- Discussion of the COSMIC Model -- Correlation of COSMIC Sizes with Development Effort -- Automated COSMIC Size Measurement -- Conclusions -- Key Ideas -- References -- Chapter 18: Benchmarking: Comparing Apples to Apples -- Introduction -- The Use of Standards -- Functional Size Measurement -- Reasons for Benchmarking -- A Standard Way of Benchmarking -- Normalizing -- Sources of Benchmark Data -- ISBSG Repository -- Internal Benchmark Data Repository -- Benchmarking in Practice -- False Incentives -- Summary -- Key Ideas -- Further Reading. , Part V: Best Practices for Productivity -- Chapter 19: Removing Software Development Waste to Improve Productivity -- Introduction -- Taxonomy of Software Development Waste -- Building the Wrong Feature or Product -- Mismanaging the Backlog -- Rework -- Unnecessarily Complicated or Complex Solutions -- Extraneous Cognitive Load -- Psychological Distress -- Knowledge Loss -- Waiting/Multitasking -- Ineffective Communication -- Additional Wastes in Pre-agile Projects -- Discussion -- Not All Problems Are Wastes -- Reducing Waste -- Conclusion -- Key Ideas -- References -- Chapter 20: Organizational Maturity: The Elephant Affecting Productivity -- Background -- The Process Maturity Framework -- The Impact of Maturity on Productivity and Quality -- Updating Maturity Practices for an Agile-DevOps Environment -- Summary -- Key Ideas -- References -- Chapter 21: Does Pair Programming Pay Off? -- Introduction: Highly Productive Programming -- Studying Pair Programming -- Software Development As Knowledge Work -- What Actually Matters in Industrial Pair Programming -- Constellation A: System Knowledge Advantage -- Constellation B: Collective System Knowledge Gap -- Constellation C: Complementary Knowledge -- So, Again: Does Pair Programming Pay Off? -- Key Ideas -- References -- Chapter 22: Fitbit for Developers: Self-Monitoring at Work -- Self-Monitoring to Quantify Our Lives -- Self-Monitoring Software Developers' Work -- Supporting Various Individual Needs Through Personalization -- Self-Reporting Increases Developers' Awareness About Efficiency -- Retrospection About Work Increases Developers' Self-Awareness -- Actionable Insights Foster Productive Behavior Changes -- Increasing Team Awareness and Solving Privacy Concerns -- Fostering Sustainable Behaviors at Work -- Key Ideas -- References -- Chapter 23: Reducing Interruptions at Work with FlowLight. , The Cost of Interruptions at Work.

Weitere Ausg.: Print version: Sadowski, Caitlin Rethinking Productivity in Software Engineering Berkeley, CA : Apress L. P.,c2019 ISBN 9781484242209

Sprache: Englisch

Schlagwort(e): Electronic books. ; Electronic books

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Umfang: 1 Online-Ressource (310 p.)

ISBN: 9781484242216

Inhalt: 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. ; 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

Anmerkung: English

Sprache: Englisch

URL: kostenfrei

UID:

Umfang: XXVIII, 310 p. 50 illus. , online resource.

ISBN: 9781484242216

Inhalt: 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.

Anmerkung: 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.

In: Springer eBooks

Weitere Ausg.: Printed edition: ISBN 9781484242209

Weitere Ausg.: Printed edition: ISBN 9781484242223

Sprache: Englisch

DOI: 10.1007/978-1-4842-4221-6

URL: https://doi.org/10.1007/978-1-4842-4221-6

URL: https://doi.org/10.1007/978-1-4842-4221-6