{"id":"W3048561840","doi":"10.1007/s10270-020-00813-6","title":"Automatic generation of UML profile graphical editors for Papyrus","year":2020,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; H2020 European Institute of Innovation and Technology; Defence Science and Technology Group; Innovate UK; Defence Science and Technology Laboratory","keywords":"Computer science; Unified Modeling Language; Applications of UML; Metamodeling; Software engineering; Maintainability; UML tool; Programming language; Code refactoring; Model-driven architecture; Reuse; Software","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":[0.003166992,0.0009982797,0.0005897037,0.001415644,0.000477932,0.001686526,0.0014424,0.0006925426,0.00436634],"category_scores_gemma":[0.01628539,0.000860023,0.0006688913,0.0005032144,0.0004750603,0.001567718,0.001987278,0.0009750605,0.002729062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867285,"about_ca_system_score_gemma":0.0009832638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005575579,"about_ca_topic_score_gemma":0.0009824295,"domain_scores_codex":[0.9982888,0.0005447195,0.0001774087,0.0003751794,0.0005284277,0.00008546717],"domain_scores_gemma":[0.9885285,0.006342715,0.0009760679,0.00243187,0.001424662,0.0002960658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001859775,0.000886633,0.01022548,0.001991554,0.0001883631,0.003921376,0.007156121,0.0330926,0.2620508,0.02154443,0.02920365,0.6278791],"study_design_scores_gemma":[0.0004443733,0.0006894498,0.006665403,0.0005323846,0.0002214512,0.003099429,0.0008923751,0.4550674,0.3407079,0.01120081,0.1802159,0.0002631552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.08951406,0.0001710374,0.818953,0.0002039599,0.0001745414,0.0007926674,0.001073064,0.08314812,0.005969515],"genre_scores_gemma":[0.2449288,0.000182662,0.7308355,0.00008233098,0.00002533313,0.0004250659,0.002967768,0.01287287,0.00767973],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.00436634,"threshold_uncertainty_score":0.01674885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04670122206367495,"score_gpt":0.2516659754048751,"score_spread":0.2049647533412002,"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."}}