{"id":"W3211076835","doi":"10.1109/rew53955.2021.00012","title":"Generating Sequence Diagram from Natural Language Requirements","year":2021,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Sequence diagram; Computer science; Unified Modeling Language; Communication diagram; Correctness; Completeness (order theory); Class diagram; Programming language; Applications of UML; Use Case Diagram; UML tool; Natural language; Sequence (biology); Natural language processing; Software engineering; Software","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":[0.002433596,0.001249744,0.0004904353,0.003326817,0.000420446,0.0008074231,0.0008234539,0.0008431262,0.004606117],"category_scores_gemma":[0.01711929,0.000404482,0.001345964,0.00107897,0.000359495,0.0009228961,0.0007469911,0.0006740517,0.001616603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007695184,"about_ca_system_score_gemma":0.002712464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002931783,"about_ca_topic_score_gemma":0.003629673,"domain_scores_codex":[0.9959176,0.001683102,0.0003569869,0.0005003369,0.00144294,0.00009903106],"domain_scores_gemma":[0.9868048,0.008590843,0.0006405758,0.001195956,0.002643811,0.000124088],"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":[0.0006697525,0.0006629168,0.006733688,0.003117424,0.0001446371,0.003266871,0.002555093,0.1821825,0.1104917,0.05647547,0.02035083,0.6133491],"study_design_scores_gemma":[0.0002278519,0.0004387073,0.002491626,0.0003106458,0.0000935569,0.001405056,0.0005856649,0.8084516,0.09065524,0.02880545,0.06642384,0.0001107038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02398839,0.00007162737,0.9649279,0.0001608082,0.00004702036,0.001163412,0.002193948,0.00469258,0.002754335],"genre_scores_gemma":[0.07105061,0.0001442729,0.9172739,0.0000650192,0.00001397956,0.001278073,0.008207398,0.0004999035,0.001466807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004606117,"threshold_uncertainty_score":0.01540905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411350203033933,"score_gpt":0.3147973851656794,"score_spread":0.2806838831353401,"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."}}