2014 IEEE Seventh International Conference on Software Testing, Verification and Validation Workshops 2014
DOI: 10.1109/icstw.2014.8
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An Empirical Comparison of Combinatorial and Random Testing

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Cited by 24 publications
(12 citation statements)
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“…To reduce this threat we carefully check its results. However, we consider this threat as small since MILU has also been used by several authors in their studies, e.g., [4], [57], independently of us. Furthermore, we used the Yao et al [20] benchmark, which was entirely built by hand.…”
Section: Threats To Validitymentioning
confidence: 99%
“…To reduce this threat we carefully check its results. However, we consider this threat as small since MILU has also been used by several authors in their studies, e.g., [4], [57], independently of us. Furthermore, we used the Yao et al [20] benchmark, which was entirely built by hand.…”
Section: Threats To Validitymentioning
confidence: 99%
“…Type of Experiment Constraints Included? CT / RT ART / RT CT / ART [8], [9], [10], [11], [12], [13], [14], [15], [16] Case Analysis No √ [17], [18], [19] Simulation No √ [20], [21] Empirical Study Yes √ [5] Formal Analysis No √ [22] Simulation No √ [23], [24], [25], [26] Empirical Study No √ [27] Simulation Yes √ [28] Simulation No √ √ √ both theoretically and empirically [22], [23], [24], [25], [26]. However, these studies assumed no constraints between parameters, which may be problematic as real-world applications often have constrained domains [29], [30].…”
Section: Referencementioning
confidence: 99%
“…They found that CT provides little benefit over RT and does not improve requirement-based testing. Additionally, Ghandehari et al [20] compared code coverage and fault detection ability of CT and RT on the Siemens Suite. They concluded that the differences between these two techniques are not as significant as people would have probably expected.…”
Section: Related Workmentioning
confidence: 99%
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“…Some case studies concerning combinatorial testing have focused on comparing between different strengths of combinatorial criteria [48] with random tests [49,50] and the coverage achieved by such test cases. For example, Cohen et al [51] found 6 that pairwise generated tests can achieve 90% code coverage by using the AETG tool.…”
Section: Case Studies On Combinatorial T − Wise Interaction Test Genementioning
confidence: 99%