{"id":"W1554003089","doi":"10.1007/3-540-45104-8_4","title":"From UML Descriptions of High-Level Software Architectures to LQN Performance Models","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Unified Modeling Language; Graph rewriting; Applications of UML; Programming language; Software system; Software architecture; Software engineering; Graph; Software; Theoretical computer science","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":[0.001875711,0.001346624,0.0005166272,0.001979338,0.0005952448,0.003912879,0.001709515,0.001418019,0.007919278],"category_scores_gemma":[0.006393005,0.001256999,0.001090035,0.00153747,0.001353799,0.003963053,0.001276894,0.002409385,0.003298465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763387,"about_ca_system_score_gemma":0.001832933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008622899,"about_ca_topic_score_gemma":0.007024738,"domain_scores_codex":[0.9985861,0.0004706132,0.0001855202,0.0001303115,0.0005387123,0.00008890047],"domain_scores_gemma":[0.9973869,0.001339916,0.0002150806,0.0003828814,0.0006027466,0.00007252012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000103389,0.00009996694,0.0009302677,0.001067284,0.00005150001,0.0007316052,0.003399987,0.08102427,0.01046216,0.7396424,0.01898256,0.1435046],"study_design_scores_gemma":[0.00006142556,0.00005369023,0.0004588834,0.000892425,0.00009100256,0.0004975692,0.000491668,0.2074623,0.01687225,0.3616165,0.4114251,0.0000774402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003551866,0.0009250374,0.9746794,0.000680637,0.0001416301,0.0001278142,0.001714004,0.004544387,0.0136352],"genre_scores_gemma":[0.1264432,0.003591487,0.8398196,0.0006560565,0.0001654508,0.0007212067,0.007170356,0.00299683,0.01843572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008622899,"threshold_uncertainty_score":0.02649266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618091706823653,"score_gpt":0.2326270676177647,"score_spread":0.2064461505495282,"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."}}