{"id":"W2991395850","doi":"10.2298/csis190430040e","title":"Verification and testing of safety-critical airborne systems: A model-based methodology","year":2019,"lang":"en","type":"article","venue":"Computer Science and Information Systems","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Computer science; Avionics; Verification and validation; Software verification; Non-regression testing; Formal verification; Verification; Formal methods; Life-critical system; Functional verification; Certification; Reliability engineering; Conformance testing; Software engineering; Software reliability testing; Model checking; Test strategy; Software; Software system; Software construction; Programming language; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001511246,0.0001128454,0.0002456417,0.0002948213,0.0000596376,0.0001351975,0.000162959,0.00006460213,3.750425e-7],"category_scores_gemma":[0.0001266583,0.0001088777,0.0000121518,0.0004228183,0.0001232187,0.001597534,0.00004005969,0.00007301751,0.00001283947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007997038,"about_ca_system_score_gemma":0.00008637803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001422903,"about_ca_topic_score_gemma":3.611278e-8,"domain_scores_codex":[0.9988602,0.00003330192,0.0005306428,0.0001307907,0.0002589525,0.0001860758],"domain_scores_gemma":[0.998978,0.0002794495,0.00008353204,0.0002475017,0.0003339535,0.00007762322],"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":[0.000002065535,0.000001714743,0.0002340939,0.001020835,0.000004321823,7.433576e-8,0.0004219396,0.9782102,0.001162763,0.01310878,0.00001955857,0.005813653],"study_design_scores_gemma":[0.0001808412,0.00003672733,0.001538844,0.000201678,0.000003437543,0.00002605809,0.00008754245,0.9958212,0.0002582301,0.000004058787,0.001725586,0.0001158034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04072372,0.000278495,0.9562283,0.00001687385,0.001215467,0.0003471416,0.000006730454,0.0001691693,0.001014151],"genre_scores_gemma":[0.9697981,0.000005249368,0.03010896,0.00002031098,0.00003681394,0.00001881441,0.00000283415,0.000006541326,0.000002404382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9290743,"threshold_uncertainty_score":0.4439903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294303140580155,"score_gpt":0.2395138664829168,"score_spread":0.2100835524249013,"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."}}