{"id":"W4413557477","doi":"10.1109/isie62713.2025.11124734","title":"Model-Based Fault Injection and Diagnostic Validation for AUTOSAR Software Components in Safety-Critical Automotive Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"AUTOSAR; Fault injection; Automotive industry; Computer science; Embedded system; Reliability engineering; Life-critical system; Automotive electronics; Verification and validation; Software; Software engineering; Engineering; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001770552,0.0001237293,0.0002123455,0.0001806978,0.00005999427,0.0000736081,0.00004379543,0.0001035239,0.000004281134],"category_scores_gemma":[0.0006638913,0.0001248023,0.00003498771,0.0001426935,0.00001615931,0.0001455244,0.000007398696,0.00007016795,0.000003835153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370136,"about_ca_system_score_gemma":0.0000230808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00012655,"about_ca_topic_score_gemma":0.00001699783,"domain_scores_codex":[0.9991913,0.00005012298,0.0003265157,0.0001706969,0.00009708825,0.0001643214],"domain_scores_gemma":[0.9982232,0.001516834,0.0000178618,0.0001037579,0.00009436182,0.0000440273],"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":[0.00002152436,0.00002138,0.002300535,0.0002862359,0.00001532587,3.857599e-7,0.00004444047,0.9928897,0.0002218101,0.002726141,0.00010714,0.001365373],"study_design_scores_gemma":[0.001205816,0.00002246406,0.004078091,0.0001950974,0.00001809434,5.429051e-7,0.00005058662,0.9936198,0.0001231409,0.000431748,0.000139162,0.0001154669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03379508,0.0001430426,0.9635536,0.00009310037,0.0004233649,0.0007922829,0.00003465591,0.0003658169,0.0007990368],"genre_scores_gemma":[0.998298,0.000003511473,0.001267382,0.00003434501,0.00002437503,0.0001589918,0.00006863783,0.00001556713,0.0001291451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.964503,"threshold_uncertainty_score":0.5089289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533281750981332,"score_gpt":0.2563009566949483,"score_spread":0.240968139185135,"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."}}