{"id":"W2079764904","doi":"10.1109/iecon.2012.6389399","title":"From requirements to software trustworthiness using scenarios and finite state machine","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Software construction; Software engineering; Finite-state machine; Verification and validation; Software quality; Software; Software development; Software verification; Trustworthiness; Software metric; Programming language; Computer security; Engineering","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":[0.0005772042,0.0001391263,0.000197938,0.0001419049,0.0001637486,0.0002158282,0.0004854611,0.00004102907,0.0001170819],"category_scores_gemma":[0.0003427209,0.0001122918,0.00004904627,0.000588479,0.00003460368,0.0008452595,0.0007019248,0.0001245359,0.00007388725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005086555,"about_ca_system_score_gemma":0.00004174118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889474,"about_ca_topic_score_gemma":0.00006336242,"domain_scores_codex":[0.9983964,0.0000968928,0.0002273561,0.0003769953,0.0004392191,0.0004631169],"domain_scores_gemma":[0.9986587,0.0003010238,0.00003946299,0.0005431175,0.00009588308,0.0003618627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003301095,0.0003039725,0.6596872,0.00004838212,0.000146413,0.00002663531,0.004674396,0.004793749,0.0007840642,0.0003583461,0.0003856448,0.3287582],"study_design_scores_gemma":[0.001187897,0.0001337956,0.07619214,0.000129646,0.00005277004,0.0000172683,0.0001183596,0.9023069,0.002375487,0.008005321,0.008370941,0.001109502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3550764,0.0001883346,0.6441166,0.0002839099,0.00009981982,0.00009567121,0.000007860453,0.0001043445,0.00002709149],"genre_scores_gemma":[0.8102874,0.00001833527,0.188798,0.0005062927,0.000083228,0.000005881201,0.000006083974,0.00000931054,0.000285503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8975132,"threshold_uncertainty_score":0.4579125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580419247407069,"score_gpt":0.3205734196787983,"score_spread":0.2747692272047276,"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."}}