{"id":"W2145209235","doi":"10.1109/icsm.2003.1235428","title":"Impact analysis and change management of UML models","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Unified Modeling Language; Computer science; Applications of UML; UML tool; Object Constraint Language; Class diagram; Consistency (knowledge bases); Interdependence; Software engineering; Data mining; Programming language; Software; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001112854,0.00004832834,0.00008601288,0.0002296334,0.00001177965,0.0000273572,0.000254622,0.00001344284,0.00000900189],"category_scores_gemma":[0.000003635634,0.00003820501,0.0000447908,0.0008955527,0.000010782,0.0002290984,0.0001924947,0.00002734167,0.000003255938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002945759,"about_ca_system_score_gemma":0.000005722239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003775128,"about_ca_topic_score_gemma":0.000007103751,"domain_scores_codex":[0.9994689,0.000004229667,0.00006412427,0.0001446324,0.000187247,0.0001308994],"domain_scores_gemma":[0.9995816,0.00002469991,0.0000106851,0.0003042884,0.00002377681,0.00005497896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001107278,0.0003276655,0.1156602,0.0002622316,0.003642396,0.0001418677,0.003791199,0.3056093,0.0001998808,0.2898628,0.00008479784,0.2804065],"study_design_scores_gemma":[0.0002655296,0.0000639097,0.7464743,0.00001234593,0.00003729846,0.000002027413,0.000006574903,0.2487006,0.0004636918,0.003870363,0.000003793187,0.00009957852],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1874686,0.00007102149,0.8119794,0.00009468663,0.00000985279,0.00005815903,5.132114e-7,0.00006256984,0.000255249],"genre_scores_gemma":[0.9284109,0.00003422176,0.07148101,0.000009399252,0.000004610859,0.000007078135,3.479785e-7,0.000002238416,0.00005017198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7409423,"threshold_uncertainty_score":0.1557955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427595090332349,"score_gpt":0.3075478474100297,"score_spread":0.2647883383767948,"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."}}