"PWiseGen: Generating Test Cases for Pairwise Testing Using Genetic Alg" by Pedro Flores and Yoonsik Cheon

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Departmental Technical Reports (CS)

Title

PWiseGen: Generating Test Cases for Pairwise Testing Using Genetic Algorithms

Authors

Pedro Flores, Universidad Autónoma de Ciudad JuárezFollow
Yoonsik Cheon, University of Texas at El PasoFollow

Publication Date

1-2011

Comments

Technical Report: UTEP-CS-11-06

Abstract

Pairwise testing is a combinatorial testing technique that tests all possible pairs of input values. Although, finding a smallest set of test cases for pairwise testing is NP-complete, pairwise testing is regarded as a reasonable cost-benefit compromise among combinatorial testing methods. In this paper we formulate the problem of finding a pairwise test set as a search problem and apply a genetic algorithm to solve it. We also describe an open-source tool called PWiseGen for generating pairwise test sets. According to our experiments, PWiseGen produces competitive results compared with existing pairwise testing tools. Besides, it provides a framework and a research platform for generating pairwise test sets using genetic algorithms; it is configurable, extensible, and reusable.

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