{"id":"W2795612311","doi":"10.1109/saner.2018.8330200","title":"Clustering support for inadequate test suite reduction","year":2018,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Test suite; Cluster analysis; Regression testing; Computer science; Test (biology); Reduction (mathematics); Reliability engineering; Test case; Code coverage; Data mining; Test Management Approach; Suite; Automatic test pattern generation; Machine learning; Regression analysis; Engineering; Software; Programming language; Mathematics; Software system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006398999,0.0009176666,0.0009312379,0.005283379,0.0009099745,0.001904726,0.00258828,0.001665068,0.002540948],"category_scores_gemma":[0.074559,0.0003616437,0.000967485,0.004427634,0.0005666394,0.001884,0.00151959,0.001130138,0.001014672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438171,"about_ca_system_score_gemma":0.001964709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004807587,"about_ca_topic_score_gemma":0.007907064,"domain_scores_codex":[0.9915701,0.002554784,0.0007010711,0.001443019,0.003146413,0.000584629],"domain_scores_gemma":[0.9264771,0.04040969,0.006470918,0.01288984,0.01195359,0.001798881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001449303,0.001054215,0.1624612,0.00150399,0.0005555926,0.0005699063,0.0007981412,0.1838949,0.02231774,0.01457575,0.0714929,0.5393263],"study_design_scores_gemma":[0.0002441401,0.0006782842,0.07044883,0.0002318271,0.0003209966,0.0008441501,0.0005740972,0.854348,0.01702818,0.02254561,0.0326162,0.0001196159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7456741,0.002432302,0.2099204,0.004224871,0.0002122664,0.0005880318,0.0103985,0.01259906,0.01395052],"genre_scores_gemma":[0.8563735,0.0003454241,0.1220402,0.0003542038,0.0001006061,0.00029651,0.01890744,0.0004737277,0.001108326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006398999,"threshold_uncertainty_score":0.03384161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564268704330998,"score_gpt":0.2975746053393125,"score_spread":0.2619319182960025,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}