{"id":"W2394841101","doi":"10.1109/saner.2016.56","title":"Defect Prediction: Accomplishments and Future Challenges","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Software quality assurance; Software; Software quality; Software development; Software engineering; Quality (philosophy); Software metric; Data science; Software quality analyst; Key (lock); Field (mathematics); Prioritization; Risk analysis (engineering); Management science; Engineering; Computer security","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":[0.03713429,0.00211755,0.001753817,0.003534759,0.001877867,0.008001696,0.005141526,0.007643826,0.004487215],"category_scores_gemma":[0.06547109,0.0006564698,0.001342825,0.003156943,0.004764291,0.02189329,0.003885766,0.008090037,0.002865491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002576066,"about_ca_system_score_gemma":0.003887262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006293653,"about_ca_topic_score_gemma":0.003969929,"domain_scores_codex":[0.9873303,0.005623513,0.0009244073,0.002115982,0.003486927,0.0005188745],"domain_scores_gemma":[0.8874106,0.0745417,0.002893134,0.006041118,0.02495397,0.004159391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002124463,0.00042334,0.01070541,0.001936654,0.000141349,0.0002232846,0.001206966,0.01356396,0.0009534186,0.06714477,0.05865598,0.8448324],"study_design_scores_gemma":[0.00008408532,0.001018671,0.01278854,0.006695502,0.0002382225,0.001453267,0.01371553,0.1147599,0.003459791,0.4205807,0.4247062,0.0004997079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02790808,0.4162621,0.1319321,0.3986382,0.006111536,0.0001854852,0.0008265413,0.001473464,0.01666245],"genre_scores_gemma":[0.2843857,0.4276454,0.2356724,0.02224286,0.0149384,0.0004076114,0.002365823,0.0005040061,0.01183771],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03713429,"threshold_uncertainty_score":0.1963872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160372313132453,"score_gpt":0.2460218626394165,"score_spread":0.2244181395080919,"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."}}