{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388057,0.001553821,0.0009850633,0.008867134,0.0007945218,0.004878116,0.001302301,0.001946603,0.008158432],"category_scores_gemma":[0.003671911,0.001352182,0.0008643768,0.01102757,0.001378993,0.00782307,0.001465372,0.002598478,0.007104998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181623,"about_ca_system_score_gemma":0.001974873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003141732,"about_ca_topic_score_gemma":0.00319437,"domain_scores_codex":[0.9980481,0.0002667137,0.0001991978,0.0002916922,0.001086216,0.0001080558],"domain_scores_gemma":[0.9976071,0.001252535,0.0001835948,0.000186728,0.0006713142,0.00009864096],"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":[0.00004163558,0.00011266,0.0008296511,0.004138857,0.00003383267,0.0001237076,0.0006139952,0.003030972,0.002679404,0.04850976,0.05202297,0.8878626],"study_design_scores_gemma":[0.00001165984,0.0001135606,0.001777853,0.003931944,0.00005728239,0.001318546,0.0006675234,0.00582552,0.003308039,0.05050269,0.9324082,0.00007710439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004139164,0.7525803,0.153209,0.005382794,0.001481745,0.0002077211,0.000854418,0.004081874,0.07806303],"genre_scores_gemma":[0.02342298,0.7857004,0.1513004,0.001613553,0.001575775,0.0002634359,0.001682466,0.0009917667,0.03344921],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008867134,"threshold_uncertainty_score":0.02729273,"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."}}