{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003218702,0.00007858187,0.0000751398,0.00007600604,0.0001398551,0.0001110728,0.0003705618,0.00003776243,0.00001191485],"category_scores_gemma":[0.0003429053,0.00007071733,0.00003071427,0.0001822128,0.00004237231,0.000258311,0.0001455529,0.0000392954,0.00004604493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002631975,"about_ca_system_score_gemma":0.00003431812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000467887,"about_ca_topic_score_gemma":0.000005600664,"domain_scores_codex":[0.9992966,0.000008394987,0.0001337121,0.0002564681,0.00009240829,0.0002123898],"domain_scores_gemma":[0.9992425,0.000165743,0.00004610451,0.0003680211,0.0001289464,0.00004867019],"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":[0.00001373305,0.0001127812,0.002727862,0.00005484387,0.0000122848,0.000005592349,0.001122051,0.000007924908,0.004767103,0.008808257,0.3486874,0.6336802],"study_design_scores_gemma":[0.0007330471,0.00303188,0.003253285,0.0001075652,0.00001525848,0.0004761154,0.00001523545,0.6937565,0.0944368,0.1621662,0.04109317,0.0009149139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001024331,0.00000270123,0.9843581,0.0005476838,0.0003802231,0.0001401377,7.450815e-7,0.009943454,0.003602675],"genre_scores_gemma":[0.4395008,5.556799e-7,0.5586186,0.0002028755,0.0001837095,0.00002411757,0.000001195838,0.000006733422,0.001461359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6937486,"threshold_uncertainty_score":0.2883769,"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."}}