{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01697677,0.001238112,0.0007940499,0.01280585,0.001502753,0.004406949,0.001929291,0.001422249,0.002421539],"category_scores_gemma":[0.08007858,0.0008705657,0.001789967,0.005292154,0.002127711,0.006775188,0.003240514,0.001542955,0.0002961985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003774899,"about_ca_system_score_gemma":0.002135504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005252629,"about_ca_topic_score_gemma":0.003864259,"domain_scores_codex":[0.9656907,0.01482843,0.001852662,0.001925676,0.01468357,0.001019103],"domain_scores_gemma":[0.9394261,0.03847976,0.006644314,0.007113036,0.00767184,0.0006649813],"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":[0.0003672846,0.0003246374,0.03470758,0.0007310644,0.0004523675,0.0008306251,0.004042168,0.1952537,0.006876736,0.1757731,0.003320566,0.57732],"study_design_scores_gemma":[0.00008060758,0.0002769571,0.01617799,0.0003351348,0.0003756791,0.0004329144,0.001500786,0.7612453,0.01418724,0.1809542,0.02427005,0.0001632418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08365021,0.001161303,0.8988993,0.001072477,0.0001117931,0.0006419907,0.0002663734,0.002185361,0.01201118],"genre_scores_gemma":[0.647168,0.0007869501,0.3485942,0.000148395,0.000128668,0.0005223419,0.0007699239,0.000352313,0.001529223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01697677,"threshold_uncertainty_score":0.08978283,"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."}}