Software Error Detection through Testing and Analysis (Hardcover)

Software error detection is one of the most challenging problems in software engineering. Now, you can learn how to make the most of software testing by selecting test cases to maximize the probability of revealing latent errors. Software Error Detection through Testing and Analysis begins with a thorough discussion of test-case selection and a review of the concepts, notations, and principles used in the book. Next, it covers:

• Code-based test-case selection methods
• Specification-based test-case selection methods
• Additional advanced topics in testing
• Analysis of symbolic trace
• Static analysis
• Program instrumentation

Each chapter begins with a clear introduction and ends with exercises for readers to test their understanding of the material. Plus, appendices provide a logico-mathematical background, glossary, and questions for self-assessment. Assuming a basic background in software quality assurance and an ability to write nontrivial programs, the book is free of programming languages and paradigms used to construct the program under test.

Software Error Detection through Testing and Analysis is suitable as a professional reference for software testing specialists, software engineers, software developers, and software programmers. It is also appropriate as a textbook for software engineering, software testing, and software quality assurance courses at the advanced undergraduate and graduate levels.

軟體錯誤檢測關鍵技術的深入評估

軟體錯誤檢測是軟體工程中最具挑戰性的問題之一。現在，您可以通過選擇測試案例來最大化揭示潛在錯誤的概率，從而學習如何充分利用軟體測試。《軟體錯誤檢測與測試分析》從詳細討論測試案例選擇和書中使用的概念、符號和原則開始。接下來，它涵蓋了以下內容：

- 基於代碼的測試案例選擇方法
- 基於規範的測試案例選擇方法
- 測試中的其他高級主題
- 符號跟蹤分析
- 靜態分析
- 程序儀器化

每章開始時都有清晰的介紹，並以練習結束，供讀者測試對材料的理解。此外，附錄提供了邏輯數學背景、詞彙表和自我評估問題。假設讀者具備軟體品質保證的基本背景和編寫非平凡程序的能力，本書不涉及用於構建測試程序的編程語言和範式。

《軟體錯誤檢測與測試分析》適合作為軟體測試專家、軟體工程師、軟體開發人員和軟體程序員的專業參考資料。同時，它也適合作為高年級本科和研究生軟體工程、軟體測試和軟體品質保證課程的教材。