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Dataset for ICSE 2026 Paper “Test Flimsiness: Characterizing Flakiness Induced by Mutation to the Code Under Test”

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Figshare2025-10-23 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Dataset_for_ICSE_2026_Paper_Test_Flimsiness_Characterizing_Flakiness_Induced_by_Mutation_to_the_Code_Under_Test_/30417847
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This archive contains the full dataset that is too large to include in the main replication package. Filename conventions make use of the subject number (subject_n), the mutant number (mutant_n), and the run number (run_n). The mutant number -1 indicates no mutation. Negative run numbers indicate coverage runs. Contents are as follows:volume/coverage: Compressed Coverage.py reports for every coverage run. Filename convention is as follows: "{subject_n}_{mutant_n}_{run_n}.coverage.gz".volume/diffs: Mutant diffs. Filename convention is as follows: "{subject_n}_{mutant_n}.diff".volume/metrics: Compressed runtime metrics about each test case for every test suite run. Not used in the study. Filename convention is as follows: "{subject_n}_{mutant_n}_{run_n}.pkl.gz".volume/mutants: Cosmic Ray arguments to produce each mutant. Filename convention is as follows: "{subject_n}.csv".volume/reports: Compressed JUnit XML reports for every test suite run. Filename convention is as follows: "{subject_n}_{mutant_n}_{run_n}.xml.gz".volume/sources: Source code of each test case. Filename convention is as follows: "{subject_n}.pkl".
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2025-10-23
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