{"id":"W1967388635","doi":"10.1109/icsme.2014.113","title":"Model Clone Detector Evaluation Using Mutation Analysis","year":2014,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"clone (Java method); Computer science; Software engineering; Software maintenance; Precision and recall; Unified Modeling Language; Implementation; Software; Programming language; Data mining; Software system; Machine learning; Gene","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":[0.01991887,0.001304931,0.00131537,0.01198236,0.001060612,0.00312527,0.00213819,0.00176019,0.0008655137],"category_scores_gemma":[0.1021034,0.0003847184,0.001425845,0.003787344,0.00102912,0.00324157,0.002051533,0.00105746,0.0003105732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002576866,"about_ca_system_score_gemma":0.002203804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008986779,"about_ca_topic_score_gemma":0.007855253,"domain_scores_codex":[0.9796551,0.006286769,0.002298254,0.00305292,0.008000921,0.0007060549],"domain_scores_gemma":[0.9019396,0.05808777,0.007477439,0.008070604,0.02356825,0.0008563204],"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":[0.001502775,0.0007925442,0.1703946,0.001115516,0.001248023,0.0006809582,0.001936562,0.1558929,0.0596973,0.01467788,0.007551994,0.584509],"study_design_scores_gemma":[0.0001289434,0.0006953893,0.02316711,0.000151293,0.0003549453,0.0007153987,0.0005685245,0.8720754,0.09321726,0.004548634,0.004230363,0.0001468288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5693759,0.001342856,0.4113547,0.0003623994,0.0001838958,0.0006441833,0.0009829256,0.01121837,0.004534869],"genre_scores_gemma":[0.7444372,0.0002461968,0.2522001,0.00009666826,0.00002325217,0.0001915233,0.001491059,0.0004732056,0.000840786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01991887,"threshold_uncertainty_score":0.1053423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06481390715856372,"score_gpt":0.3367874458930243,"score_spread":0.2719735387344606,"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."}}