{"id":"W2681600167","doi":"10.1109/rcis.2017.7956550","title":"Evaluation of MUSER, a holistic security requirements analysis framework","year":2017,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of Standards and Technology; Università degli Studi di Trento; Academy of Finland","keywords":"Realm; Conceptual framework; Computer science; Security engineering; Security through obscurity; Computer security; Risk analysis (engineering); Business; Security information and event management; Cloud computing security; Software security assurance; Security service; Information security; Sociology; Political science; Law; Cloud computing","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":[0.04005878,0.001198626,0.000759613,0.003343287,0.001307177,0.002943533,0.002128652,0.001287913,0.002875106],"category_scores_gemma":[0.05261812,0.0006164884,0.001198348,0.001241975,0.001867062,0.003559078,0.003895509,0.001757299,0.0005697724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004180425,"about_ca_system_score_gemma":0.005482836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008538798,"about_ca_topic_score_gemma":0.0116235,"domain_scores_codex":[0.9698905,0.0190684,0.001327183,0.001078307,0.007705697,0.0009299087],"domain_scores_gemma":[0.9665214,0.01861909,0.002080448,0.003297043,0.008776879,0.0007051923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002148415,0.003744139,0.02330802,0.003958596,0.0004869266,0.001703677,0.02173079,0.1651269,0.0850104,0.1038998,0.01430606,0.5745763],"study_design_scores_gemma":[0.001015787,0.006014962,0.02410393,0.002028143,0.0004653638,0.001171755,0.02435088,0.7980981,0.03188919,0.02061957,0.0898019,0.0004403812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5159659,0.0007538837,0.4126721,0.003662382,0.0001407232,0.007616287,0.001252589,0.003998518,0.05393762],"genre_scores_gemma":[0.4497515,0.0002729972,0.5442976,0.0004353774,0.00001973994,0.001631098,0.001159913,0.0002737085,0.002158061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04005878,"threshold_uncertainty_score":0.2118536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018623085630649,"score_gpt":0.3831506547667154,"score_spread":0.2812883462036506,"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."}}