Rethinking productivity software engineering (13 Ergebnisse)

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Paperback. Zustand: New. 1st ed. 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 LearnReview the definitions and dimensions of software productivitySee how time management is having the opposite of the intended effectDevelop valuable dashboardsUnderstand the impact of sensors on productivityAvoid software development wasteWork with human-centered methods to measure productivityLook at the intersection of neuroscience and productivityManage interruptions and context-switchingWho Book Is ForIndustry 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.…

Zustand: New. 2019. 1st ed. paperback. . . . . .

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Taschenbuch. Zustand: Neu. Neuware - Amazon Book DescriptionAI can write code faster. But can your engineering process keep up Software development is entering a fundamental transition. AI coding assistants and autonomous development tools can generate code, tests, refactoring plans, documentation, and multi-file implementations at a speed that changes the economics of software production.But faster code generation does not automatically produce better software.Software Engineering in the AI Era examines what happens when implementation becomes dramatically easier-and why code review, testing, architecture, productivity measurement, and developer workflows must evolve with it.Mira S. Devlin presents a practical framework for engineering teams navigating AI-assisted development. Rather than treating AI as either a replacement for developers or simply a faster autocomplete tool, this book examines AI as a change to the entire software engineering system.You will explore how to: - Rethink code review when AI can generate substantial implementations- Build testing strategies that provide evidence rather than simply more test code- Preserve architectural boundaries as implementation becomes cheaper- Identify technical debt and emerging comprehension debt- Evaluate AI-assisted productivity without confusing output with engineering value- Design developer workflows around appropriate human checkpoints- Improve onboarding and knowledge transfer in AI-assisted teams- Understand the risks of generated assumptions, hidden dependencies, and plausible but incorrect implementations- Adapt engineering practices without abandoning proven software engineering fundamentals- Build workflows that balance development speed with correctness, maintainability, and accountabilityThe central idea is simple: When code becomes cheaper to produce, engineering judgment becomes more valuable.AI can generate an implementation. It cannot remove the engineering responsibility to determine whether that implementation is correct, appropriate, understandable, and safe to operate.This book is for software engineers, senior developers, architects, engineering managers, technical leaders, and teams adopting AI-assisted development who want to increase their leverage without allowing development speed to outrun engineering understanding.The future of software engineering is not simply about writing more code. It is about building better systems with greater leverage-and knowing what still requires human judgment. …

Softcover/Taschenbuch. Zustand: Neu. 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 LearnReview the definitions and dimensions of software productivitySee how time management is having the opposite of the intended effectDevelop valuable dashboardsUnderstand the impact of sensors on productivityAvoid software development wasteWork with human-centered methods to measure productivityLook at the intersection of neuroscience and productivityManage interruptions and context-switchingWho Book Is ForIndustry 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. Sprache: Englisch Gewicht in Gramm: 641.…

Taschenbuch. Zustand: Neu. Rethinking Productivity in Software Engineering | Thomas Zimmermann (u. a.) | Taschenbuch | xxviii | Englisch | 2019 | Apress | EAN 9781484242209 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Zustand: New. 1st ed. 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 LearnReview the definitions and dimensions of software productivitySee how time management is having the opposite of the intended effectDevelop valuable dashboardsUnderstand the impact of sensors on productivityAvoid software development wasteWork with human-centered methods to measure productivityLook at the intersection of neuroscience and productivityManage interruptions and context-switchingWho Book Is ForIndustry 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.…