{"id":"W2584970301","doi":"10.1109/icosst.2016.7838329","title":"Safe regression test suite optimization: A review","year":2016,"lang":"en","type":"review","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Test suite; Regression testing; Computer science; Suite; Reduction (mathematics); Test case; Fuzzy logic; Machine learning; Artificial intelligence; Regression analysis; Mathematics; Software","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":[0.0006554492,0.0004495651,0.001357531,0.0001794914,0.0001095602,0.0001308434,0.001858099,0.0002209244,0.0001884645],"category_scores_gemma":[0.001950895,0.0002370393,0.0003654977,0.0007681108,0.00003583904,0.0002466643,0.000640362,0.0002190498,0.0004120253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008751667,"about_ca_system_score_gemma":0.0002983585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002725677,"about_ca_topic_score_gemma":9.915554e-8,"domain_scores_codex":[0.9977988,0.0001709686,0.0006784747,0.0007150679,0.0003319487,0.0003047202],"domain_scores_gemma":[0.9958017,0.001666959,0.0005045058,0.001749643,0.0001502395,0.0001269394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[2.614393e-8,0.00001011343,4.04874e-7,0.01048601,0.000004644437,0.000009311198,8.956754e-7,6.57181e-8,1.099669e-9,0.0002712594,0.1940024,0.7952149],"study_design_scores_gemma":[0.00001854088,0.00002298405,2.359794e-8,0.2774892,0.00004342599,0.0001326405,6.665025e-9,0.0001581656,9.164555e-8,0.0003684581,0.7214987,0.0002678042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.023601e-12,0.5926791,0.3946624,0.000235339,0.0001270992,0.000368092,0.000003152408,0.007509741,0.004415096],"genre_scores_gemma":[1.186059e-9,0.6567783,0.3400883,0.0004267775,0.00008207283,0.00009832774,0.00001059161,0.00002390658,0.002491731],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7949471,"threshold_uncertainty_score":0.9666181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05784089282187099,"score_gpt":0.3639114011909279,"score_spread":0.3060705083690569,"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."}}