{"id":"W3008292200","doi":"10.1109/icmla.2019.00195","title":"Software Fault Prediction Based on Fault Probability and Impact","year":2019,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Computer science; Machine learning; Naive Bayes classifier; Fault (geology); Random forest; Artificial intelligence; Data mining; Software; Support vector machine; Software system; Perceptron; Artificial neural network","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":[0.001547946,0.000935462,0.0007171411,0.004239642,0.0002314632,0.0007483838,0.0006357466,0.0006998282,0.001227558],"category_scores_gemma":[0.01346801,0.0002636357,0.0008798196,0.001496018,0.0003448612,0.00134983,0.0005114682,0.0006261619,0.0005086683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000687901,"about_ca_system_score_gemma":0.0003957111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005153105,"about_ca_topic_score_gemma":0.004238042,"domain_scores_codex":[0.9986776,0.0002243418,0.0001293682,0.0003054819,0.0005397578,0.0001234329],"domain_scores_gemma":[0.9876627,0.007983463,0.001593145,0.0006775802,0.001837711,0.000245472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003838857,0.000177909,0.1754456,0.0001237476,0.0001346534,0.0002219576,0.00009838449,0.7332872,0.003186758,0.0007240926,0.000809984,0.08540571],"study_design_scores_gemma":[0.000005029485,0.00006999387,0.02899407,0.00001060829,0.00002309311,0.00008593035,0.00001479627,0.967767,0.001615355,0.001236271,0.0001648497,0.00001296005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139529,0.0005473043,0.1803718,0.0001765694,0.00003853768,0.00009164635,0.001293742,0.001760573,0.001766839],"genre_scores_gemma":[0.986275,0.00008220587,0.01259619,0.000007572484,0.000009532397,0.00002015641,0.0006516158,0.00003653754,0.0003212535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005153105,"threshold_uncertainty_score":0.01024628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347146307452868,"score_gpt":0.2608939757624029,"score_spread":0.2474225126878742,"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."}}