Introduction to Combinatorial Testing

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A01=D. Richard Kuhn
A01=Raghu N. Kacker
A01=Yu Lei
advanced combinatorial testing methods
assertion-based verification
Author_D. Richard Kuhn
Author_Raghu N. Kacker
Author_Yu Lei
CAs
Category=UB
Category=UMX
Category=UMZ
Category=UMZT
Category=UY
Combinatorial Coverage
combinatorial methods in software testing
combinatorial test strategy for engineers
Combinatorial Testing
Combinatorial testing of software
Conguration Options
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
experimental design
fault detection methods
Input Space Partitioning
Large Test Problems
Lu Gg
Model Checker
Multiple Test Sets
OAs
Random Test Generation
Random Test Set
Random Tests
real-world software testing
Smart Phone
software reliability
software tools for generating combinatorial tests
Soware Testing
St Db
SUT
system configuration analysis
Ta Te
Test Cases
Test Congurations
Test Oracle
Test Parameter Values
Test Set
Test Set Size
Test Suite Generation
undergraduate computer science

Product details

  • ISBN 9781466552296
  • Weight: 521g
  • Dimensions: 156 x 234mm
  • Publication Date: 20 Jun 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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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.

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

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