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Zusatztext "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 Informationen zum Autor D. Richard Kuhn, Raghu N. Kacker, Yu Lei Zusammenfassung 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. Inhaltsverzeichnis Combinatorial Methods in TestingSoftware Failures and the Interaction Rule Two Forms of Combinatorial Testing Covering Arrays The Test Oracle Problem Quick Start: How to Use the Basics of Combinatorial Methods Right AwayCombinatorial Testing Applied Document Object Model! Carmelo Montanez-Rivera! D. Richard Kuhn! Mary Brady! Rick Rivello! Jenise Reyes Rodriguez! and Michael PowersRich Web Applications! Chad M. MaughanConfiguration Testing Runtime Environment ConfigurationsHighly Configurable Systems and Software Product Lines Invalid Combinations and Constraints Cost and Practical ConsiderationsInput Testing Partitioning the Input Space Input Variables versus Test Parameters Fault Type and Detectability Building Tests to Match an Operational Profile Scaling Considerations Cost and Practical ConsiderationsTest Parameter Analysis! Eduardo MirandaWhat Should Be Included as a Test Parameter Combination Anomalies Classification Tree Method Modeling Methodology Selecting the System under Test Combinatorial Testing and Boundary Value AnalysisManaging System State! George SherwoodTest Fact or Partitions with StateTest Fact or SimplificationsSequence Unit Replay Model Single Region State Models Multiple Region State ModelsMeasuring Combinatorial Coverage Software Test CoverageCombinatorial CoverageUsing Combinatorial Coverage Cost and Practical Considerations Analysis of (t + 1)-Way CoverageTest Suite Prioritization by Combinatorial Coverage! Renee Bryce and Sreedevi SampathCombinatorial Coverage for Test Suite Prioritization Algorithm Prioritization Criteria Review of Empirical StudiesTool: Combinatorial-Based Prioritization for User-Session-Based TestingOther Approaches to Test Suite Prioritization Using Combinatorial Interactions Cost and Practical ConsiderationsCombinatorial Testing and Random Test Generation Coverage of Random Tests Adaptive Random Testing Tradeoffs: Covering Arrays and Random Generation Cost and Practical ConsiderationsSequence-Covering Arrays Sequence-Covering Array Defin...
