Test case prioritization for object-oriented software: An adaptive random sequence approach based on clustering.

Journal of Systems and Software(2018)

引用 72|浏览56
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摘要
•A new dissimilarity metric (OMV, object method vector) for OOS test cases.•Two clustering methods to generate adaptive random sequences for OOS test cases.•A sampling strategy to construct the adaptive random sequences.•Conducting empirical studies to verify the proposed approaches.
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关键词
Object-oriented software,Adaptive random sequence,Test cases prioritization,Cluster analysis,Test cases selection
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