Managing Requirements Knowledge
暫譯: 管理需求知識

  • 出版商: Springer
  • 出版日期: 2015-07-08
  • 售價: $4,580
  • 貴賓價: 9.5$4,351
  • 語言: 英文
  • 頁數: 416
  • 裝訂: Paperback
  • ISBN: 3642443826
  • ISBN-13: 9783642443824
  • 海外代購書籍(需單獨結帳)

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商品描述

Requirements engineering is one of the most complex and at the same time most crucial aspects of software engineering. It typically involves different stakeholders with different backgrounds. Constant changes in both the problem and the solution domain make the work of the stakeholders extremely dynamic. New problems are discovered, additional information is needed, alternative solutions are proposed, several options are evaluated, and new hands-on experience is gained on a daily basis. The knowledge needed to define and implement requirements is immense, often interdisciplinary and constantly expanding. It typically includes engineering, management and collaboration information, as well as psychological aspects and best practices.

This book discusses systematic means for managing requirements knowledge and its owners as valuable assets. It focuses on potentials and benefits of “lightweight,” modern knowledge technologies such as semantic Wikis, machine learning, and recommender systems applied to requirements engineering. The 17 chapters are authored by some of the most renowned researchers in the field, distilling the discussions held over the last five years at the MARK workshop series. They present novel ideas, emerging methodologies, frameworks, tools and key industrial experience in capturing, representing, sharing, and reusing knowledge in requirements engineering.

While the book primarily addresses researchers and graduate students, practitioners will also benefit from the reports and approaches presented in this comprehensive work.

商品描述(中文翻譯)

需求工程是軟體工程中最複雜且同時最關鍵的方面之一。它通常涉及不同背景的多方利益相關者。問題和解決方案領域的持續變化使得利益相關者的工作極具動態性。每天都會發現新問題、需要額外資訊、提出替代解決方案、評估多種選項,並獲得新的實務經驗。定義和實施需求所需的知識龐大,通常是跨學科的,並且不斷擴展。這通常包括工程、管理和協作資訊,以及心理學方面和最佳實踐。

本書討論了系統化管理需求知識及其擁有者作為寶貴資產的方法。它專注於“輕量級”現代知識技術的潛力和好處,例如語義維基、機器學習和應用於需求工程的推薦系統。本書的17章由該領域一些最著名的研究者撰寫,提煉了過去五年在MARK工作坊系列中進行的討論。他們提出了新穎的想法、新興的方法論、框架、工具以及在需求工程中捕捉、表示、分享和重用知識的關鍵產業經驗。

雖然本書主要針對研究人員和研究生,但實務工作者也將從這部綜合性著作中獲益,了解報告和方法。