{"id":"W72841774","doi":"10.1007/978-3-642-05151-7_12","title":"Verification of CERT Secure Coding Rules: Case Studies","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Software verification; Secure coding; Model checking; Software security assurance; Software; Coding (social sciences); Formal verification; Software engineering; Programming language; Software system; Software construction; Embedded system; Computer security; Information security; Security service","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009513563,0.0007392248,0.0006442082,0.001372059,0.001570616,0.002333946,0.002143337,0.003881463,0.004107274],"category_scores_gemma":[0.06355486,0.0006018503,0.001213378,0.001295777,0.003938598,0.003568652,0.002401731,0.002199158,0.0008135654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550939,"about_ca_system_score_gemma":0.001652762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002642762,"about_ca_topic_score_gemma":0.003129931,"domain_scores_codex":[0.9886417,0.004587705,0.0006164034,0.0007368734,0.004528097,0.0008891725],"domain_scores_gemma":[0.9093037,0.07317016,0.002151547,0.01033271,0.004495823,0.000546099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004786698,0.003963257,0.02168553,0.001843355,0.0002664436,0.01927095,0.009401889,0.3360872,0.03802529,0.2348004,0.009513641,0.3203554],"study_design_scores_gemma":[0.001106802,0.002013911,0.003257738,0.0003599052,0.000260507,0.008595034,0.002979876,0.6180474,0.1538511,0.1931992,0.016175,0.0001535674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7547269,0.0005933092,0.2090688,0.001417607,0.00007236261,0.0008460361,0.0004808844,0.001569567,0.03122463],"genre_scores_gemma":[0.9200196,0.0002488555,0.075759,0.00008302785,0.00001152729,0.0001634428,0.0002381154,0.0002146822,0.003261772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009513563,"threshold_uncertainty_score":0.05031312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05165673657441901,"score_gpt":0.3221903559900158,"score_spread":0.2705336194155968,"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."}}