{"id":"W2122998872","doi":"10.1109/cse.2009.383","title":"Activity and Artifact Views of a Secure Software Development Process","year":2009,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artifact (error); Process (computing); Computer science; Software security assurance; Software development process; Goal-Driven Software Development Process; Software development; Software engineering; Software; Computer security; Artificial intelligence; Information security; Security service; Programming language","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":[0.0001174161,0.0000606727,0.00008609636,0.00003528635,0.00005040651,0.00003855782,0.000171284,0.00002658859,0.00001736111],"category_scores_gemma":[0.00001098969,0.00004689273,0.00001391795,0.0001288595,0.000009683709,0.0005691439,0.00003747392,0.00004807912,0.0000115711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008531575,"about_ca_system_score_gemma":0.00006717599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002122981,"about_ca_topic_score_gemma":0.00001171021,"domain_scores_codex":[0.9995317,0.000009841641,0.0001271856,0.00009676627,0.0001383973,0.0000961459],"domain_scores_gemma":[0.9997,0.000008672561,0.00005997546,0.000130332,0.00005610889,0.0000448902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000006806787,0.0001124422,0.0006757888,0.0000599596,0.0000064358,0.000001106262,0.01677934,0.000006323991,0.0002053666,0.02353259,0.0003359188,0.9582779],"study_design_scores_gemma":[0.001426103,0.0003758218,0.4921001,0.0001230644,0.000008254653,0.00006004766,0.0003729783,0.02635207,0.4155542,0.01762495,0.04496632,0.001036084],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5387145,0.00002430888,0.4532077,0.0004345396,0.00003126387,0.000118427,3.343804e-7,0.0001047664,0.007364198],"genre_scores_gemma":[0.9699229,0.000002254039,0.02951279,0.000478307,0.000003188089,0.000002204566,4.333556e-7,7.550537e-7,0.00007717942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9572418,"threshold_uncertainty_score":0.191223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723780616032839,"score_gpt":0.2614162833456846,"score_spread":0.2441784771853562,"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."}}