{"id":"W2767683547","doi":"10.1109/icsme.2017.33","title":"Bug Propagation through Code Cloning: An Empirical Study","year":2017,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Code refactoring; Cloning (programming); Computer science; clone (Java method); Programming language; Code (set theory); Software maintenance; Source code; Java; Software evolution; Software bug; Codebase; Commit; Software; Software system; Biology; Database; Genetics; Software construction","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":[0.0004131141,0.00008286459,0.00009034376,0.00003618089,0.0003329927,0.0006592275,0.001607131,0.00003388041,0.0000147068],"category_scores_gemma":[0.000648987,0.00006746778,0.00001900967,0.00009035991,0.00003589275,0.00121166,0.0004567173,0.0001405356,0.00009188685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000365618,"about_ca_system_score_gemma":0.0000592748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001133659,"about_ca_topic_score_gemma":0.00004034535,"domain_scores_codex":[0.9988531,0.00004658045,0.0001099278,0.0003538796,0.0004053876,0.0002311047],"domain_scores_gemma":[0.9982346,0.0001228698,0.00003542429,0.001436697,0.00008988266,0.00008051135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005757037,0.0005224321,0.9795818,0.000008484521,0.00001927627,0.00006649824,0.004346164,0.0002424995,0.0002595163,0.003794333,0.002069682,0.009083605],"study_design_scores_gemma":[0.0003916406,0.000445225,0.9414927,0.000005338038,0.000002030224,0.000007950188,0.00006607301,0.05359603,0.001760778,0.0007672296,0.001296763,0.0001682072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5317094,0.000004011651,0.4658844,0.0007117028,0.0001795264,0.0002103374,1.926698e-7,0.0003718084,0.0009286263],"genre_scores_gemma":[0.9674399,5.405647e-7,0.03182039,0.00004954679,0.00007672983,0.00002366338,5.064777e-7,0.000008305079,0.0005804538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4357305,"threshold_uncertainty_score":0.6356946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09509380129141144,"score_gpt":0.4050089130761953,"score_spread":0.3099151117847839,"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."}}