{"id":"W2883496053","doi":"10.1145/3194095.3194101","title":"Towards a classification of bugs to facilitate software maintainability tasks","year":2018,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Software bug; Computer science; Maintainability; Software maintenance; Process (computing); Software quality; Software; Software regression; Set (abstract data type); Code (set theory); Software engineering; Software development; Programming language","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":[0.007974399,0.003386478,0.002537016,0.03137,0.002228347,0.008640285,0.004293867,0.003208532,0.003232021],"category_scores_gemma":[0.05510804,0.001073431,0.002291219,0.01389432,0.001202862,0.009574802,0.004329927,0.003938887,0.00430967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002401435,"about_ca_system_score_gemma":0.003953704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150894,"about_ca_topic_score_gemma":0.00791329,"domain_scores_codex":[0.9883235,0.001753822,0.002170928,0.002157277,0.004922818,0.0006717432],"domain_scores_gemma":[0.9253538,0.01927717,0.01470549,0.007161935,0.03055663,0.002944943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006020185,0.00124763,0.1881956,0.002049582,0.0002596628,0.001102521,0.00452514,0.008634717,0.01358045,0.03103148,0.05343221,0.695339],"study_design_scores_gemma":[0.0003966941,0.001337718,0.2161999,0.003812132,0.0007269927,0.003593214,0.008960744,0.4511262,0.01964691,0.1249985,0.1683565,0.0008444483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1213869,0.004655574,0.8240757,0.005089844,0.0007307905,0.002698846,0.01224079,0.01898708,0.01013451],"genre_scores_gemma":[0.112748,0.001214283,0.8630466,0.0004909569,0.0002849601,0.0009571314,0.01824652,0.0007772502,0.00223431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03137,"threshold_uncertainty_score":0.04217315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0572385695500097,"score_gpt":0.3036218594995165,"score_spread":0.2463832899495068,"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."}}