{"id":"W2023831809","doi":"10.1007/s10515-008-0045-5","title":"From UML/SPT models to schedulability analysis: approach and a prototype implementation using ATL","year":2009,"lang":"en","type":"article","venue":"Automated Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Metamodeling; Unified Modeling Language; Computer science; Model transformation; Applications of UML; Programming language; UML tool; Object Constraint Language; Model-driven architecture; Software engineering; Transformation (genetics); Software; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003863154,0.0002363128,0.0003519832,0.0002828407,0.0001147899,0.0001732135,0.0003559398,0.0001105664,0.000003635334],"category_scores_gemma":[0.00005857213,0.0002234563,0.00008924205,0.001472449,0.00001101141,0.0008245913,0.0001184676,0.000126712,0.000004438685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379346,"about_ca_system_score_gemma":0.00005801282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003094289,"about_ca_topic_score_gemma":0.000003759515,"domain_scores_codex":[0.9982764,0.00004288329,0.0004033628,0.0006243094,0.0002873552,0.0003657292],"domain_scores_gemma":[0.9989356,0.00005744419,0.00007525177,0.0006549758,0.0001096211,0.0001671476],"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":[0.00001264966,0.00007873458,0.01896668,0.00009745528,0.0002609671,0.000004259622,0.003974077,0.962525,0.001061447,0.0002752503,0.00002108036,0.01272238],"study_design_scores_gemma":[0.0002057596,0.00006249819,0.05308005,0.00002860178,0.00006557521,0.000004051424,0.00004918832,0.9455504,0.0004975635,0.0001879453,0.00001028449,0.0002580931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.468642,0.00005977411,0.5292081,0.00002152284,0.00006099212,0.0004236232,0.000005611707,0.001576209,0.000002115994],"genre_scores_gemma":[0.6597893,0.00000117873,0.3400705,0.00004094411,0.00003174102,0.0000414524,0.00001594204,0.000008189588,7.058406e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1911473,"threshold_uncertainty_score":0.9112284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772066751551936,"score_gpt":0.274224577022942,"score_spread":0.2565039095074226,"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."}}