{"id":"W2899100292","doi":"10.1145/3236024.3264599","title":"WarningsGuru: integrating statistical bug models with static analysis to provide timely and specific bug warnings","year":2018,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Commit; Computer science; False positive paradox; Static program analysis; Process (computing); Static analysis; Software bug; Code (set theory); Statistical model; Source code; Statistical analysis; Software; Debugging; Software engineering; Data science; Data mining; Database; Software development; Programming language; Set (abstract data type); Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006694953,0.003156529,0.001577228,0.008092915,0.0005702575,0.002539207,0.002861128,0.001925306,0.005003607],"category_scores_gemma":[0.03216057,0.002272539,0.002680298,0.002586685,0.0009954618,0.005486859,0.003285226,0.002622242,0.00306161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009081383,"about_ca_system_score_gemma":0.00208676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005431091,"about_ca_topic_score_gemma":0.0071605,"domain_scores_codex":[0.9950815,0.001479752,0.0004627509,0.001010852,0.001687767,0.0002773896],"domain_scores_gemma":[0.9721601,0.0169031,0.003589357,0.004785351,0.002002261,0.0005598376],"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":[0.001200745,0.0009482161,0.07141578,0.001694397,0.001065934,0.001290286,0.001448015,0.1580148,0.01554393,0.009070654,0.1062749,0.6320323],"study_design_scores_gemma":[0.0001269196,0.0002919411,0.005170266,0.0001581714,0.0001225748,0.0003612258,0.00009664894,0.956712,0.008738298,0.01583292,0.01217841,0.0002105415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02159259,0.0004269253,0.4889671,0.0005655175,0.0001656282,0.0002298853,0.002971182,0.4836201,0.001461108],"genre_scores_gemma":[0.3338537,0.0004944069,0.6232846,0.0008909013,0.0001890494,0.0005813416,0.008802945,0.02830437,0.003598687],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008092915,"threshold_uncertainty_score":0.03540677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718653479600835,"score_gpt":0.2631313732810692,"score_spread":0.2459448384850609,"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."}}