{"id":"W1995953313","doi":"10.1109/modre.2014.6890824","title":"A DSL for importing models in a requirements management system","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Digital subscriber line; Traceability; Computer science; Software engineering; Requirements traceability; IBM; Domain-specific language; Modeling language; Unified Modeling Language; Systems engineering; Requirements analysis; Programming language; Software; Requirement; Engineering","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":[0.003381404,0.0008561813,0.0004898618,0.001443769,0.0007141896,0.003013615,0.001256705,0.001440589,0.005150773],"category_scores_gemma":[0.005736281,0.000951512,0.001419276,0.0008190727,0.001068975,0.003137195,0.001873703,0.002932931,0.002344842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364394,"about_ca_system_score_gemma":0.002073216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829512,"about_ca_topic_score_gemma":0.002001232,"domain_scores_codex":[0.997793,0.0008405323,0.0004013642,0.0002795301,0.0006071841,0.00007849531],"domain_scores_gemma":[0.9973215,0.001456185,0.0002001303,0.0005415998,0.0003784219,0.0001021833],"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":[0.0002026897,0.0001424303,0.0008531734,0.001099441,0.0000751757,0.0019331,0.003280715,0.03464391,0.03577254,0.7235026,0.018941,0.1795532],"study_design_scores_gemma":[0.0001003912,0.0001725191,0.0003158672,0.0003784044,0.00008944923,0.001565267,0.0002843266,0.1363778,0.04360455,0.08778981,0.7291854,0.0001361631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001960289,0.0001099889,0.9884807,0.0003220201,0.0000838132,0.0001436135,0.0006229956,0.004050695,0.004225798],"genre_scores_gemma":[0.0320284,0.0003856603,0.957558,0.0003062843,0.00004569658,0.0003904275,0.001536818,0.001142721,0.006606018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005150773,"threshold_uncertainty_score":0.01788276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07664712205759941,"score_gpt":0.3144119788818172,"score_spread":0.2377648568242178,"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."}}