{"id":"W3100648313","doi":"10.1145/3412452.3423571","title":"Comparing transition trees test suites effectiveness for different mutation operators","year":2020,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mutation testing; Computer science; Mutation; Fault tree analysis; Test case; Process (computing); Test strategy; Tree (set theory); Fault (geology); Reliability engineering; Data mining; Artificial intelligence; Machine learning; Engineering; Mathematics; Programming language; Biology","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":[0.004839961,0.0007940559,0.0005994844,0.003256343,0.0003059921,0.0007684851,0.0007905109,0.0008094855,0.0005630323],"category_scores_gemma":[0.03338626,0.0002468002,0.0005839841,0.001497418,0.0006260145,0.001083476,0.000540405,0.0005464293,0.0001299969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007213837,"about_ca_system_score_gemma":0.0006068179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516491,"about_ca_topic_score_gemma":0.00296777,"domain_scores_codex":[0.9956873,0.001663789,0.0006271183,0.000483641,0.001270448,0.0002677808],"domain_scores_gemma":[0.9491296,0.04025644,0.003356612,0.003105411,0.003451085,0.0007008851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003440244,0.001890652,0.1041295,0.001103503,0.001261414,0.00069892,0.0005847675,0.3886722,0.1262937,0.004153377,0.002302648,0.365469],"study_design_scores_gemma":[0.0004257505,0.01014132,0.08788276,0.0001383137,0.0007346311,0.001767153,0.000616702,0.7268429,0.1647148,0.00358291,0.002950505,0.0002021038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832643,0.0006441234,0.01359721,0.0001051038,0.00002490803,0.0000750581,0.0002768225,0.0008882234,0.00112423],"genre_scores_gemma":[0.9815468,0.0002583945,0.0169614,0.00003463488,0.000009997195,0.00006900012,0.000726729,0.00009676515,0.0002963615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004839961,"threshold_uncertainty_score":0.02559644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045604436717692,"score_gpt":0.271809221183187,"score_spread":0.23135317681601,"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."}}