{"id":"W2121820828","doi":"10.1109/csmr.2006.3","title":"A framework for software architecture refactoring using model transformations and semantic annotations","year":2006,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Code refactoring; Computer science; Maintainability; Software engineering; Unified Modeling Language; Software architecture; Software system; Software architecture description; Software evolution; Programming language; Context (archaeology); Reference architecture; Software; Software construction","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":[0.01242779,0.002621646,0.00169409,0.005415128,0.002204068,0.006085134,0.005878092,0.003620127,0.003549101],"category_scores_gemma":[0.01417459,0.002164463,0.005336535,0.003773875,0.004333086,0.006063413,0.004837564,0.005253269,0.001940648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00248564,"about_ca_system_score_gemma":0.005861708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01352235,"about_ca_topic_score_gemma":0.01647731,"domain_scores_codex":[0.9925288,0.002909143,0.001078133,0.0008416956,0.002317147,0.0003251094],"domain_scores_gemma":[0.9930692,0.002653924,0.0008095394,0.002107524,0.001089434,0.00027046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001172186,0.0002676945,0.0009159162,0.0009471248,0.000269757,0.001323842,0.002592708,0.09978858,0.007502234,0.6221755,0.00790488,0.2561947],"study_design_scores_gemma":[0.0001236276,0.0001730273,0.0004700915,0.0008752135,0.0002380059,0.0009612422,0.0004821036,0.3826995,0.008574164,0.4599676,0.1452187,0.0002166873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002664798,0.00007669628,0.9970273,0.0001265544,0.00001775193,0.00011427,0.00005125751,0.001633556,0.0006861442],"genre_scores_gemma":[0.006230116,0.0001828623,0.9922609,0.00004406902,0.0000211226,0.0002681034,0.0002892763,0.0002066886,0.0004968735],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01352235,"threshold_uncertainty_score":0.06572521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03295478639553996,"score_gpt":0.298517837636581,"score_spread":0.2655630512410411,"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."}}