Combinatorial Testing

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Author(s): Renée C. Bryce (Utah State University, USA), Yu Lei (University of Texas, Arlington, USA), D. Richard Kuhn (National Institute of Standards and Technology, USA)and Raghu Kacker (National Institute of Standards and Technology, USA)
Copyright: 2010
Pages: 13
Source title: Handbook of Research on Software Engineering and Productivity Technologies: Implications of Globalization
Source Author(s)/Editor(s): Muthu Ramachandran (Leeds Metropolitan University, UK)and Rogério Atem de Carvalho (Instituto Federal Fluminense, Brazil)
DOI: 10.4018/978-1-60566-731-7.ch014

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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Abstract

Software systems today are complex and have many possible configurations. Products released with inadequate testing can cause bodily harm, result in large economic losses or security breaches, and affect the quality of day-to-day life. Software testers have limited time and budgets, frequently making it impossible to exhaustively test software. Testers often intuitively test for defects that they anticipate while less foreseen defects are overlooked. Combinatorial testing can complement their tests by systematically covering t-way interactions. Research in combinatorial testing includes two major areas (1) algorithms that generate combinatorial test suites and (2) applications of combinatorial testing. The authors review these two topics in this chapter.

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