Introduction to Combinatorial Testing

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

Overview

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.

Product Details

ISBN-13:	9781466552296
Publisher:	Taylor & Francis
Publication date:	06/20/2013
Series:	Chapman & Hall/CRC Innovations in Software Engineering and Software Development Series , #5
Pages:	341
Product dimensions:	6.10(w) x 9.10(h) x 0.70(d)

About the Author

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

Table of Contents

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.

Editorial Reviews

"I was prepared at the outset to dislike this book. I expected a different subject. It was written by researchers who may or may not have been able to relate to practitioners. It was about a subject that seemed virtually impossible to make practical. But in the end, it turned out to be on a quite different subject, and the authors overcame all my concerns. I thoroughly recommend it to anyone involved in the practice of software testing."
—Computing Reviews, March 2014

From the Publisher