{"id":"W1553279924","doi":"10.1007/978-3-540-46464-8_33","title":"Deriving Software Performance Models from Architectural Patterns by Graph Transformations","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Graph rewriting; Programming language; Formalism (music); Theoretical computer science; Graph; Software architecture; Model transformation; Queueing theory; Software system; Software; Distributed computing; Artificial intelligence","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":[0.0005296392,0.0007604943,0.0007019777,0.000675645,0.0005768978,0.0005818909,0.003770006,0.0004357203,0.00006112412],"category_scores_gemma":[0.00002404241,0.000650709,0.000228394,0.0007059439,0.0005150484,0.002048551,0.0005068305,0.001128679,0.00006046204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808927,"about_ca_system_score_gemma":0.0004503997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001906426,"about_ca_topic_score_gemma":0.0001215113,"domain_scores_codex":[0.9952331,0.00004753101,0.0008796093,0.001658856,0.001244981,0.0009359532],"domain_scores_gemma":[0.9970857,0.0004323958,0.000263246,0.00176441,0.0002042001,0.0002500642],"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":[0.000007024092,0.00002645717,0.0007709761,0.00008719606,0.00001766646,0.000009848177,0.002295984,0.1351899,0.00001833693,0.0001607143,0.00002151552,0.8613944],"study_design_scores_gemma":[0.000478847,0.0001941518,0.001124982,0.001275368,0.00001850761,0.00009890021,4.449624e-7,0.8763559,0.001076221,0.1173949,0.0005540791,0.001427634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.016166,0.0006515591,0.9798982,0.0002722918,0.001225931,0.0005531848,0.00009267229,0.000478205,0.0006619989],"genre_scores_gemma":[0.844409,0.0003653089,0.1537746,0.000884372,0.0003194487,0.00003684453,0.00007234802,0.00005301005,0.00008504859],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8599668,"threshold_uncertainty_score":0.9995944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094358476890152,"score_gpt":0.2087026676362577,"score_spread":0.1977590828673562,"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."}}