{"id":"W2167990851","doi":"10.1109/wcre.2003.1287237","title":"Towards the reverse engineering of UML sequence diagrams","year":2004,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Sequence diagram; Unified Modeling Language; Computer science; Reverse engineering; UML tool; Class diagram; Sequence (biology); Applications of UML; Communication diagram; Programming language; Software engineering; Software; Chemistry","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":[0.01437381,0.001590434,0.001003319,0.003695644,0.00109775,0.004284268,0.002040696,0.00187868,0.001828512],"category_scores_gemma":[0.04481648,0.001526006,0.002094992,0.001614241,0.002448307,0.003736316,0.003752437,0.004189499,0.001427532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333459,"about_ca_system_score_gemma":0.004382942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004410714,"about_ca_topic_score_gemma":0.006350661,"domain_scores_codex":[0.9803261,0.008794145,0.00162721,0.001918502,0.006806994,0.0005270866],"domain_scores_gemma":[0.9508657,0.01966954,0.003466743,0.01468673,0.01088403,0.0004271106],"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":[0.0001639938,0.0003902137,0.006790103,0.0009269383,0.000181908,0.0006387419,0.003577324,0.0622966,0.04020174,0.1262687,0.003594907,0.7549688],"study_design_scores_gemma":[0.0001594107,0.0004037958,0.001952562,0.0007075195,0.0002409796,0.002254597,0.001254412,0.5007651,0.1782632,0.1714091,0.1423905,0.0001988301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003625318,0.0001005131,0.9942041,0.00009036717,0.00002143213,0.0001160074,0.0000393564,0.001416222,0.0003866387],"genre_scores_gemma":[0.02250775,0.0002569418,0.9753332,0.00006464824,0.00001214711,0.0001228246,0.0003669575,0.0003408228,0.0009946442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01437381,"threshold_uncertainty_score":0.0760169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03323764457883913,"score_gpt":0.262192049138497,"score_spread":0.2289544045596578,"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."}}