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商品描述
A comprehensive treatment of systems and software testing using state of the art methods and tools
This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling.
Analytic Methods in Systems and Software Testing presents its comprehensive collection of methods in four parts: Part I: Testing Concepts and Methods; Part II: Statistical Models; Part III: Testing Infrastructures; and Part IV: Testing Applications. It seeks to maintain a focus on analytic methods, while at the same time offering a contextual landscape of modern engineering, in order to introduce related statistical and probabilistic models used in this domain. This makes the book an incredibly useful tool, offering interesting insights on challenges in the field for researchers and practitioners alike.
- Compiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineering
- Combines methods and examples focused on the analytic aspects of systems and software testing
- Covers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability models
- Written by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consulting
- Stimulates research at the theoretical and practical level
Analytic Methods in Systems and Software Testing is an excellent advanced reference directed toward industrial and academic readers whose work in systems and software development approaches or surpasses existing frontiers of testing and validation procedures. It will also be valuable to post-graduate students in computer science and mathematics.
商品描述(中文翻譯)
使用最先進的方法和工具對系統和軟體測試的全面探討
本書提供了對最先進軟體測試方法的寶貴見解,並通過示例解釋了在該領域中使用的統計和分析方法。書中使用了大量示例,以幫助讀者理解如何將這些方法應用於現實世界的問題。應用統計學、計算機科學和軟體工程領域的領先權威介紹了針對系統和軟體測試中實踐者和研究人員所面臨挑戰的最先進方法。這些方法包括:機器學習、貝葉斯方法、圖形模型、實驗設計、廣義回歸和可靠性建模。
系統和軟體測試中的分析方法將其全面的方法集合分為四個部分:第一部分:測試概念和方法;第二部分:統計模型;第三部分:測試基礎設施;第四部分:測試應用。它旨在保持對分析方法的關注,同時提供現代工程的背景,以介紹在該領域中使用的相關統計和概率模型。這使得本書成為一個極具價值的工具,為研究人員和實踐者提供了有趣的見解,幫助他們應對該領域的挑戰。
- 匯編了來自應用統計學、計算機科學和軟體工程領域的領先權威的前沿方法和系統及軟體測試的分析方法示例
- 結合了專注於系統和軟體測試分析方面的方法和示例
- 涵蓋了邏輯回歸、機器學習、貝葉斯方法、圖形模型、實驗設計、廣義回歸和可靠性模型
- 由來自研究、商業、政府和諮詢等多元背景的領先研究人員和實踐者撰寫
- 促進理論和實踐層面的研究
系統和軟體測試中的分析方法是一本優秀的進階參考書,針對那些在系統和軟體開發中接近或超越現有測試和驗證程序邊界的工業和學術讀者。對於計算機科學和數學的研究生來說,這本書也將具有重要價值。