2014
DOI: 10.1002/spe.2263
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An empirical evaluation of a three‐tier conduit framework for multifaceted test case classification and selection using fuzzy‐ant colony optimisation approach

Abstract: Summary The test case optimisation is an NP‐complete, knowledge‐driven, data‐driven, and multidimensional search space partitioning and dimension reduction problem. In the multifaceted test case classification, partitioning and reducing the multidimensional test case fitness search space is the critical problem. The vague nature of fitness parameters, conflicting nature objectives, and ambiguity in the test case fitness evaluation have created and increased the uncertainty, the imprecision, and the incompleten… Show more

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Cited by 11 publications
(5 citation statements)
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“…Hybrid of fuzzy entropy and ant colony optimization has been used by Kumar et al [20] for classification and selection of test cases. It consists of three stages.…”
Section: B Test Case Selectionmentioning
confidence: 99%
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“…Hybrid of fuzzy entropy and ant colony optimization has been used by Kumar et al [20] for classification and selection of test cases. It consists of three stages.…”
Section: B Test Case Selectionmentioning
confidence: 99%
“…• Fuzzy Entropy value of test cases: It's been proposed by Kumar et al [20] which measures ambiguousness of test cases. It can be applied in the fitness, classification, and selection of test cases to measure the ambiguity.…”
Section: E Recently Proposed Adequacy Criteriamentioning
confidence: 99%
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“…The idea of applying automation in the performance testing domain is not new. However, most of the research has focused on automating the generation of load test suites . For example, the authors in propose an approach to automate the generation of test cases based on specified levels of load and combinations of resources.…”
Section: Related Workmentioning
confidence: 99%