{"id":"W4366721896","doi":"10.1002/9781119880929.ch1","title":"Software Fault Localization: an Overview of Research, Techniques, and Tools","year":2023,"lang":"en","type":"other","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Standards and Technology; Technische Universiteit Delft; McMaster University; Purdue University; TU Graz, Internationale Beziehungen und Mobilitätsprogramme; Brown University; Carnegie Mellon University; National University of Singapore; University of Cambridge; Yale University","keywords":"Profiling (computer programming); Computer science; Program slicing; Software; Debugging; Data mining; Slicing; Data science; Artificial intelligence; Machine learning; Programming language; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008889917,0.0001685946,0.00026529,0.0007681181,0.00004074684,0.0001844151,0.001144469,0.0002734414,0.0002229508],"category_scores_gemma":[0.0009723147,0.000154062,0.00003229935,0.001343045,0.0001353726,0.0002935915,0.0007632158,0.0003131705,0.00006020056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004974262,"about_ca_system_score_gemma":0.0001311889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005117595,"about_ca_topic_score_gemma":0.0001148566,"domain_scores_codex":[0.9979496,0.0001144626,0.0001918623,0.0005279236,0.0008750727,0.0003410683],"domain_scores_gemma":[0.9977263,0.0007724603,0.00004792861,0.001119008,0.0001956282,0.0001387098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001737802,0.00004757641,0.0005560953,0.001157705,0.00003959574,0.0001033134,0.00008708364,0.00001538057,0.000003594772,0.04057448,0.6822326,0.2751808],"study_design_scores_gemma":[0.0001038329,0.0001542464,0.0001829944,0.001026968,0.000002361242,0.00001642245,0.000007448286,0.001072032,0.0002618872,0.000920214,0.9959847,0.0002668875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000002668348,0.007225835,0.929282,0.0001479698,0.0003557145,0.001021854,0.00003595864,0.01196547,0.04996252],"genre_scores_gemma":[0.00009046198,0.01086274,0.3149918,0.00007150971,0.0006474864,0.0002360004,0.00003771186,0.001576484,0.6714858],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6215233,"threshold_uncertainty_score":0.6282465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1413551218778829,"score_gpt":0.4026653606462953,"score_spread":0.2613102387684123,"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."}}