{"id":"W2980787539","doi":"10.22215/etd/2019-13518","title":"Incremental Change Propagation from Software to Performance Models","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Metamodeling; Model transformation; Unified Modeling Language; Transformation (genetics); Software development; Software engineering; Software; Traceability; Data mining; Programming language; Artificial intelligence; Consistency (knowledge bases)","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":[0.004668485,0.001246172,0.000686753,0.002829758,0.0007272724,0.003941217,0.002884952,0.001433964,0.007312474],"category_scores_gemma":[0.03873967,0.001424141,0.001665818,0.002045844,0.001328569,0.006468921,0.005137856,0.003030313,0.002840197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016655,"about_ca_system_score_gemma":0.003100722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006203537,"about_ca_topic_score_gemma":0.003234098,"domain_scores_codex":[0.9940447,0.001186877,0.0003144717,0.001016575,0.003118741,0.0003185417],"domain_scores_gemma":[0.9808835,0.00751216,0.0008312151,0.006511356,0.003964911,0.000296864],"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":[0.0003279153,0.0005165015,0.008559895,0.000736909,0.0001927097,0.0007924091,0.002452489,0.3035378,0.02064999,0.1694727,0.01217061,0.48059],"study_design_scores_gemma":[0.00004988847,0.0001658527,0.001736537,0.0001794015,0.0001675135,0.0002331164,0.0002774534,0.8327392,0.02665618,0.09142974,0.04627281,0.00009221379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03059367,0.0003060135,0.9394421,0.001028928,0.0002038229,0.0003727042,0.0007669553,0.009590572,0.01769526],"genre_scores_gemma":[0.4742152,0.001070943,0.5055719,0.0004254231,0.0001322482,0.0005036269,0.002690183,0.002482085,0.01290843],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007312474,"threshold_uncertainty_score":0.02468961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908444690560083,"score_gpt":0.2520140464699905,"score_spread":0.2229295995643897,"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."}}