{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006297776,0.0006860036,0.0009020101,0.001029211,0.0003135392,0.000252143,0.00439676,0.000435122,0.00005643323],"category_scores_gemma":[0.00007412647,0.0005801117,0.0002106603,0.000879788,0.000653377,0.0006452391,0.001209626,0.0008312741,0.00008801487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002951976,"about_ca_system_score_gemma":0.0007209082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005053366,"about_ca_topic_score_gemma":0.0001251191,"domain_scores_codex":[0.9950261,0.00004639432,0.0009241811,0.0018548,0.001360439,0.0007881437],"domain_scores_gemma":[0.9961345,0.0004211153,0.0003110405,0.002499019,0.000347612,0.000286733],"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":[0.00001477513,0.00003034033,0.0001416611,0.00005904823,0.00001387817,0.000009699862,0.00190221,0.4036861,0.00003165185,0.0006586804,0.00002486666,0.5934271],"study_design_scores_gemma":[0.0005351651,0.0005182283,0.003636771,0.001954221,0.00002588573,0.00007159729,5.511716e-7,0.5587064,0.00337585,0.4291089,0.0005482567,0.001518177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02487406,0.0003085691,0.9712104,0.0002956776,0.001849492,0.000619609,0.0000934315,0.0002610058,0.0004877515],"genre_scores_gemma":[0.5652158,0.00004029111,0.4336409,0.0005446833,0.0003635705,0.00001948485,0.00001030398,0.00003037237,0.000134635],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5919089,"threshold_uncertainty_score":0.999665,"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."}}