Rethinking Productivity in Software Engineering
暫譯: 重新思考軟體工程中的生產力

Sadowski, Caitlin, Zimmermann, Thomas

  • 出版商: Apress
  • 出版日期: 2019-05-08
  • 售價: $2,190
  • 貴賓價: 9.5$2,081
  • 語言: 英文
  • 頁數: 306
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484242203
  • ISBN-13: 9781484242209
  • 相關分類: 軟體工程
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

充分利用這本基礎參考書,提升您的軟體團隊生產力。本開放存取書籍匯集了2017年「Dagstuhl」研討會關於軟體工程生產力的智慧,這是一場社群領袖的會議,旨在重新思考傳統的生產力定義和衡量標準。

他們的工作成果《重新思考軟體工程中的生產力》包含了涵蓋生產力相關定義和核心概念的章節、在特定情境下衡量生產力的指導方針、最佳實踐與陷阱,以及關於生產力的理論和未解問題。您將從許多短章中受益,每一章都專注於軟體工程中生產力的一個方面。

來自許多領域和行業的讀者都將受益於他們的集體成果。希望提升個人生產力的開發者,將學習克服妨礙進展的常見問題的有效策略。考慮建立內部程序以衡量程式設計師和團隊生產力的組織,將學習來自業界和研究者的最佳實踐。而研究者則可以利用書中的概念框架和豐富的文獻來有效追求新的研究方向。

您將學到什麼


  • 回顧軟體生產力的定義和維度

  • 了解時間管理如何產生與預期相反的效果

  • 開發有價值的儀表板

  • 理解感測器對生產力的影響

  • 避免軟體開發浪費

  • 使用以人為中心的方法來衡量生產力

  • 探討神經科學與生產力的交集

  • 管理中斷和上下文切換

本書適合誰閱讀

業界開發者以及負責包含軟體開發者生產力部分的研討會式課程的人士。章節以一般讀者為對象,避免過度使用技術術語。

作者簡介

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).

作者簡介(中文翻譯)

本書的作者和章節源自於最近一次關於軟體生產力的Dagstuhl研討會,代表了領先軟體工程師和研究者的智慧。
編輯:Caitlin Sadowski是Google的一名軟體工程師,專注於理解工程師的生產力。她也是多個頂尖軟體工程會議的委員會成員,包括旗艦會議ICSE和FSE、OOPSLA以及PLDI。
Thomas Zimmermann是微軟研究院的高級研究員,擁有超過50篇相關出版物。他曾擔任《實證軟體工程》(Empirical Software Engineering)的共同主編,並在《IEEE軟體工程學報》(IEEE Transactions on Software Engineering)、《IEEE軟體》(IEEE Software)和《軟體:演變與過程》(Software: Evolution and Process)的編輯委員會中任職。他是多個頂尖軟體工程會議的委員會成員,並曾編輯有關推薦系統(Springer)和軟體工程中的數據科學(Morgan Kaufmann)的書籍。