{"id":"W2144847134","doi":"10.1145/1370042.1370056","title":"Automated instrumentation of contracts and scenarios for requirements validation in .net","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Non-functional requirement; Unified Modeling Language; Software requirements specification; Functional requirement; Instrumentation (computer programming); Software engineering; Functional specification; System requirements specification; Metric (unit); Formal specification; Reliability engineering; Systems engineering; Non-functional testing; Matching (statistics); Requirements engineering; Requirements management; Programming language; Software; Software system; Software development; Engineering; Software design","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0125138,0.0009909137,0.0006579119,0.001870582,0.0008029255,0.002436721,0.001669644,0.001522663,0.001788556],"category_scores_gemma":[0.03577141,0.001200242,0.0009586653,0.0009644052,0.001998648,0.004536282,0.002635977,0.001792384,0.0005204667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907737,"about_ca_system_score_gemma":0.002841885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578176,"about_ca_topic_score_gemma":0.002771287,"domain_scores_codex":[0.984192,0.009983439,0.001039937,0.001096765,0.003087662,0.00060018],"domain_scores_gemma":[0.9746742,0.01661739,0.002439296,0.004356909,0.001524788,0.0003874954],"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":[0.001073149,0.0008912039,0.01170877,0.0006243989,0.0001127964,0.00140975,0.003137684,0.4536365,0.04898768,0.2235467,0.002340413,0.2525311],"study_design_scores_gemma":[0.00006958253,0.0001781853,0.001636604,0.0002174129,0.00003465138,0.0003330591,0.0002153584,0.8935573,0.03664599,0.05832074,0.008710168,0.00008094448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.039554,0.000102028,0.9539158,0.0002575091,0.0000160272,0.0004228045,0.0001356507,0.003573873,0.002022286],"genre_scores_gemma":[0.3959041,0.0002117471,0.601083,0.0001260208,0.00001196714,0.0006497272,0.000655172,0.0004195801,0.0009386055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0125138,"threshold_uncertainty_score":0.06618011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0791072290790121,"score_gpt":0.3358705170490376,"score_spread":0.2567632879700256,"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."}}