{"id":"W2116199281","doi":"10.1007/978-3-540-87875-9_35","title":"Integrating Performance Analysis in the Model Driven Development of Software Product Lines","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Unified Modeling Language; Model transformation; Transformation (genetics); Software engineering; Software; Programming language; 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":[0.001513797,0.0004544492,0.0006850056,0.001335894,0.0001961025,0.00009484703,0.004009929,0.0001539877,8.942188e-7],"category_scores_gemma":[0.0007200751,0.0003274256,0.0001300193,0.002009048,0.0004529023,0.0004930208,0.0009532429,0.000826254,0.000001825952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218857,"about_ca_system_score_gemma":0.0006613552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004536164,"about_ca_topic_score_gemma":0.00006892026,"domain_scores_codex":[0.9966955,0.00005731114,0.0007394695,0.001113174,0.0009022696,0.0004923351],"domain_scores_gemma":[0.9968479,0.00115144,0.0003459764,0.001349593,0.0002579136,0.00004713317],"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":[0.00000133467,0.000009582099,0.0002964314,0.00003031744,0.00001401551,0.000008015064,0.004394738,0.7199329,0.00002838714,0.000148344,0.000001020608,0.2751349],"study_design_scores_gemma":[0.00008094191,0.00004112072,0.001048591,0.0002592011,0.00001334184,0.00001982708,6.502012e-7,0.98985,0.001812888,0.006394246,0.00004552833,0.0004336894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002056076,0.0004079239,0.9966556,0.00008794761,0.0003072234,0.0002847211,0.000001513049,0.0001408768,0.00005813784],"genre_scores_gemma":[0.1041979,0.00006223082,0.8954962,0.0001108578,0.00006532572,0.00001487952,0.000003162882,0.00001598136,0.0000334681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2747012,"threshold_uncertainty_score":0.9999178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460411314962655,"score_gpt":0.2766336842306993,"score_spread":0.2320295710810728,"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."}}