{"id":"W2503408690","doi":"10.22215/etd/2012-09574","title":"Integrating performance analysis in model driven software product line engineering","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Product (mathematics); Product line; Computer science; Software product line; Line (geometry); Software; Engineering; Operating system; Mathematics; Software development; Manufacturing engineering","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":[0.0005372661,0.0004357977,0.0006456517,0.001056191,0.00004937258,0.00006862843,0.001047472,0.0002068147,0.000006332917],"category_scores_gemma":[0.001348793,0.0004083742,0.000166421,0.001867002,0.000008351437,0.0008604153,0.0001420528,0.0007256691,0.000008277958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186978,"about_ca_system_score_gemma":0.0000996285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001714551,"about_ca_topic_score_gemma":0.0001137276,"domain_scores_codex":[0.9979489,0.00003878869,0.0005040262,0.000663213,0.0003136129,0.0005314984],"domain_scores_gemma":[0.9984147,0.0003621515,0.000178376,0.000826202,0.0001380704,0.00008053158],"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":[0.00000291774,0.00001607528,0.001175565,0.0001568915,0.00008039544,0.000001882046,0.0009786248,0.9741365,0.0003928946,0.0004086948,0.000005246569,0.02264436],"study_design_scores_gemma":[0.00006579472,0.00001581726,0.008431447,0.0001185883,0.00007177961,0.000001357534,0.00003258697,0.9876735,0.002920532,0.0001630575,0.00001268354,0.0004929173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03956817,0.000491519,0.9580377,0.00001041346,0.0005906256,0.000192338,0.000002060462,0.0009833035,0.0001238871],"genre_scores_gemma":[0.1839048,0.00004663389,0.8141723,0.000007678259,0.00007329381,0.00006865548,0.0001143611,0.00003793359,0.001574325],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1443366,"threshold_uncertainty_score":0.9998368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932395981495095,"score_gpt":0.2876445352125368,"score_spread":0.2583205753975858,"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."}}