{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005652994,0.0001116431,0.0001040421,0.0001295706,0.00008818372,0.0001478531,0.0005988481,0.00003457847,0.00007729189],"category_scores_gemma":[0.0004219545,0.00008480392,0.00002915079,0.0003286342,0.000007656736,0.000695736,0.0001639161,0.0001976106,0.000351762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007651835,"about_ca_system_score_gemma":0.00002183067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003089426,"about_ca_topic_score_gemma":4.685612e-7,"domain_scores_codex":[0.998701,0.00007417671,0.0001068696,0.0002276986,0.000409363,0.0004808542],"domain_scores_gemma":[0.9982928,0.000839782,0.00001606725,0.0005497799,0.00002682958,0.0002747578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[9.77584e-7,0.0002492511,0.9947967,0.000001069384,0.000008039018,0.000002944336,0.003184434,0.00009275416,0.000492676,0.00001655598,0.0003132806,0.0008413254],"study_design_scores_gemma":[0.0001024213,0.0002901589,0.990608,0.000003087291,0.000001154124,0.000002606047,0.0001989653,0.006795082,0.001783398,0.000006295312,0.00007878493,0.0001300975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472468,0.000005039202,0.05135029,0.00005242092,0.0001755613,0.0001216454,2.18931e-7,0.0006128849,0.000435067],"genre_scores_gemma":[0.9970692,4.808325e-8,0.002589291,0.00004149782,0.0001094714,0.000003977557,4.724769e-7,0.0000123236,0.0001736842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04982236,"threshold_uncertainty_score":0.4521306,"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."}}