{"id":"W2125341657","doi":"10.1109/msr.2013.6624035","title":"Discovering, reporting, and fixing performance bugs","year":2013,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; National Science Foundation","keywords":"Software bug; Computer science; Profiling (computer programming); Eclipse; Software; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003698894,0.00009534376,0.0001339776,0.00003614441,0.0001336834,0.0001959724,0.0002597803,0.00003958378,0.00005155225],"category_scores_gemma":[0.000082112,0.00006532024,0.00002966424,0.000130965,0.00003635131,0.001345169,0.0002429998,0.0000781183,0.0001371131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001703459,"about_ca_system_score_gemma":0.00002540454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002535355,"about_ca_topic_score_gemma":0.000003298517,"domain_scores_codex":[0.9988809,0.00001145081,0.000443361,0.000290182,0.000153579,0.0002205528],"domain_scores_gemma":[0.9991401,0.00002749015,0.0002439666,0.0004603809,0.0000540952,0.00007390277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[6.849193e-7,0.00001779999,0.9309546,0.0001118333,0.000007353254,0.000002326524,0.0007339584,0.00003890774,0.000324815,0.000918752,0.001542167,0.06534679],"study_design_scores_gemma":[0.0001804504,0.00008149256,0.9087253,0.00006266514,0.00000211365,0.0001025356,0.00006870256,0.08373715,0.003155707,0.0005076052,0.003103645,0.0002726931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594238,0.00005635839,0.03258805,0.0002824517,0.0002481342,0.0001526941,5.717521e-8,0.0002441332,0.007004283],"genre_scores_gemma":[0.9886101,0.0000242619,0.009749995,0.0001432301,0.00004304218,0.00002527207,2.615498e-7,0.000004169819,0.001399613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08369824,"threshold_uncertainty_score":0.2663682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063387021205875,"score_gpt":0.2161108396827027,"score_spread":0.2054769694706439,"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."}}