Combinatorial Testing-Reference-Cited by-同舟云学术

Combinatorial Testing

Published:2010 Issue: Volume: Page:196-208
ISSN:
Container-title:Handbook of Research on Software Engineering and Productivity Technologies
language:
Short-container-title:

Author:

Bryce Renée C.¹,Lei Yu²,Kuhn D. Richard³,Kacker Raghu³

Affiliation:

1. Utah State University, USA

2. University of Texas, Arlington, USA

3. National Institute of Standards and Technology, USA

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.

Publisher

IGI Global

Reference28 articles.

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