{"id":"W2135303064","doi":"10.1109/wcre.2012.32","title":"An Empirical Study on Factors Impacting Bug Fixing Time","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Universität Zürich; Technische Universiteit Delft","keywords":"Software regression; Software bug; Computer science; Process (computing); Security bug; Empirical research; Code (set theory); Open source; Software maintenance; Software engineering; Software; Software development; Software quality; Programming language; Operating system; Software security assurance; Statistics; Cloud computing","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":[0.01083854,0.0005249107,0.0003722197,0.0034556,0.0008248707,0.001913079,0.00108819,0.0008586178,0.003268768],"category_scores_gemma":[0.1548425,0.0004676808,0.0006682784,0.005145307,0.001049521,0.002319184,0.0007862981,0.001528737,0.0005888102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581209,"about_ca_system_score_gemma":0.002161357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006471992,"about_ca_topic_score_gemma":0.005714991,"domain_scores_codex":[0.9906704,0.004066738,0.001191118,0.0009423721,0.002295735,0.0008335921],"domain_scores_gemma":[0.5455818,0.3549741,0.06920626,0.007481871,0.01657641,0.006179572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001093916,0.0002720109,0.9907739,0.00005518695,0.00004682565,0.0001109666,0.00138756,0.0002889497,0.0002000624,0.0001305208,0.0001492562,0.006475302],"study_design_scores_gemma":[0.0000135016,0.000290796,0.9942102,0.0000329656,0.00004437309,0.0001681527,0.002842456,0.001303263,0.0002569338,0.0001241663,0.0006955826,0.00001758955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983097,0.0001244522,0.0004238535,0.00009410206,0.00000408859,0.00004127786,0.000153397,0.00001364879,0.0008354551],"genre_scores_gemma":[0.9986958,0.0001275362,0.0006494946,0.00001868755,0.000005804309,0.0000425727,0.0002144193,0.00001375299,0.0002320111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083854,"threshold_uncertainty_score":0.05732036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05837254724366758,"score_gpt":0.3754761812513734,"score_spread":0.3171036340077058,"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."}}