{"id":"W2767601065","doi":"10.1109/icsme.2017.21","title":"SimPact: Impact Analysis for Simulink Models","year":2017,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Computer science; Process (computing); Set (abstract data type); Reliability engineering; Model-based testing; Software engineering; Test case; Machine learning; Engineering; Programming language","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":[0.002128026,0.001943666,0.0006161513,0.005235515,0.0004624891,0.001170977,0.00132743,0.0006263416,0.007958975],"category_scores_gemma":[0.01710141,0.0006311415,0.001305093,0.002037677,0.0005046853,0.001998125,0.001279317,0.001002596,0.001068806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005723949,"about_ca_system_score_gemma":0.001050714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003465267,"about_ca_topic_score_gemma":0.002845217,"domain_scores_codex":[0.9980568,0.0004231432,0.0001998499,0.0001973261,0.001047041,0.00007581217],"domain_scores_gemma":[0.9883668,0.00780597,0.001304289,0.001266691,0.001149323,0.0001069319],"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":[0.0004046173,0.0002659943,0.02199324,0.001173972,0.0003589771,0.0009965706,0.000567883,0.6136926,0.01727081,0.02869735,0.0173048,0.2972732],"study_design_scores_gemma":[0.00002882769,0.00007434742,0.00129741,0.00005584809,0.00004822889,0.0001861908,0.00004590391,0.9721215,0.01114611,0.007963762,0.007006904,0.00002496107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02580907,0.0001916652,0.9151371,0.00009616948,0.00004780927,0.0001727655,0.001766729,0.05259193,0.004186731],"genre_scores_gemma":[0.4647722,0.00060659,0.5211631,0.00009660034,0.00005383273,0.0006352214,0.005522354,0.004181515,0.002968552],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007958975,"threshold_uncertainty_score":0.02662545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08757853160803547,"score_gpt":0.3779971156984662,"score_spread":0.2904185840904307,"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."}}