{"id":"W4245349988","doi":"10.1109/icse.2015.274","title":"Understanding the Software Fault Introduction Process","year":2015,"lang":"en","type":"article","venue":"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Debugging; Computer science; Software engineering; Process (computing); Software bug; Fault (geology); Meaning (existential); Programming language; Algorithmic program debugging; Software; Epistemology","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":[0.017271,0.001109362,0.0004236168,0.003671998,0.002235849,0.008799493,0.002812073,0.007173557,0.004836118],"category_scores_gemma":[0.04174581,0.001103514,0.001040667,0.001730764,0.01477737,0.023439,0.003716897,0.007375109,0.0009899103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005738694,"about_ca_system_score_gemma":0.009538677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007574022,"about_ca_topic_score_gemma":0.003957205,"domain_scores_codex":[0.9932337,0.004200667,0.0002727856,0.0007347511,0.001076217,0.0004818418],"domain_scores_gemma":[0.9510674,0.0347213,0.005099351,0.003303939,0.004728195,0.001079789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000739095,0.0002393789,0.01249646,0.0004277115,0.00001928331,0.0003170375,0.04518803,0.01162647,0.001539605,0.8758526,0.002567548,0.04965202],"study_design_scores_gemma":[0.00008783477,0.0003004638,0.01151508,0.00111108,0.00006927659,0.0004909743,0.02900537,0.07409548,0.004253472,0.8136928,0.06526186,0.0001162195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2254086,0.00260857,0.6749398,0.04922142,0.0002883432,0.0008507024,0.0002762991,0.0007024644,0.04570388],"genre_scores_gemma":[0.8239865,0.002684446,0.1619992,0.002218304,0.0001155023,0.0006434791,0.0004374641,0.0001829832,0.007732261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.017271,"threshold_uncertainty_score":0.09133887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1682799662528167,"score_gpt":0.3488377812416313,"score_spread":0.1805578149888147,"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."}}