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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)
這本書提供了關於系統和軟體測試的全面介紹,使用了最先進的方法和工具。本書提供了有關軟體測試方法的寶貴見解,並通過示例解釋了在這個領域中使用的統計和分析方法。大量的示例用於幫助讀者理解如何將這些方法應用於實際問題。應用統計學、計算機科學和軟體工程的領先專家提出了解決從業人員和研究人員在系統和軟體測試中面臨的挑戰的最新方法。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,以介紹在這個領域中使用的相關統計和概率模型。這使得本書成為一個非常有用的工具,為研究人員和從業人員提供了有關該領域中的挑戰的有趣見解。
本書匯編了應用統計學、計算機科學和軟體工程領域的領先專家提供的最新方法和分析方法的示例。結合了關注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。本書由來自研究、商業、政府和咨詢等不同背景的領先研究人員和從業人員撰寫。它在理論和實踐層面上刺激研究。
《系統和軟體測試中的分析方法》是一本優秀的高級參考書,針對從事系統和軟體開發的工業和學術讀者,其工作方法超越了現有的測試和驗證程序的前沿。對於計算機科學和數學的研究生也非常有價值。