Introduction to combinatorial testing

著者
書誌事項

Introduction to combinatorial testing

D. Richard Kuhn, Raghu N. Kacker, Yu Lei

(Chapman & Hall/CRC innovations in software engineering and software development)

CRC Press/Taylor & Francis, c2013

  • : pbk

この図書・雑誌をさがす
注記

Includes bibliographical references (p. 293-307) and index

内容説明・目次

内容説明

Combinatorial testing of software analyzes interactions among variables using a very small number of tests. This advanced approach has demonstrated success in providing strong, low-cost testing in real-world situations. Introduction to Combinatorial Testing presents a complete self-contained tutorial on advanced combinatorial testing methods for real-world software. The book introduces key concepts and procedures of combinatorial testing, explains how to use software tools for generating combinatorial tests, and shows how this approach can be integrated with existing practice. Detailed explanations and examples clarify how and why to use various techniques. Sections on cost and practical considerations describe tradeoffs and limitations that may impact resources or funding. While the authors introduce some of the theory and mathematics of combinatorial methods, readers can use the methods without in-depth knowledge of the underlying mathematics. Accessible to undergraduate students and researchers in computer science and engineering, this book illustrates the practical application of combinatorial methods in software testing. Giving pointers to freely available tools and offering resources on a supplementary website, the book encourages readers to apply these methods in their own testing projects.

目次

Combinatorial Methods in Testing. Combinatorial Testing Applied. Configuration Testing. Input Testing. Test Parameter Analysis. Managing System State. Measuring Combinatorial Coverage. Test Suite Prioritization by Combinatorial Coverage. Combinatorial Testing and Random Test Generation. Sequence-Covering Arrays. Assertion-Based Testing. Model-Based Testing. Fault Localization. Evolution from Design of Experiments. Algorithms for Covering Array Construction. Appendices. References. Index.

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