{"id":"W2360831220","doi":"","title":"Increment Iteration Method to Capture the Use Case in the Modeling Process of UML","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Unified Modeling Language; Applications of UML; Process (computing); UML tool; Object Constraint Language; Object-oriented analysis and design; Software engineering; Iterative and incremental development; Modeling language; Metamodeling; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008968069,0.00008442673,0.00007465683,0.0001234022,0.0001772739,0.00008162342,0.0008100186,0.0000473679,0.000001071227],"category_scores_gemma":[0.000001603916,0.0000547445,0.00002710003,0.0007370385,0.00001606029,0.0001668669,0.0001182723,0.0001638057,0.000004639547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003659507,"about_ca_system_score_gemma":0.0000508801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009666435,"about_ca_topic_score_gemma":0.0001109559,"domain_scores_codex":[0.9991434,0.00005947713,0.0002712372,0.0002438301,0.0001340777,0.0001480324],"domain_scores_gemma":[0.9991338,0.0002006579,0.00006732476,0.0004471508,0.0001268962,0.0000242158],"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":[0.000006592044,0.0007692982,0.001088672,0.00004368592,0.00003668079,0.00002676847,0.02716317,0.087589,0.005679011,0.5860865,0.001471872,0.2900388],"study_design_scores_gemma":[0.0005727846,0.00008672878,0.00399122,0.00007404709,0.00003715727,0.001523111,0.003500406,0.8215037,0.0168659,0.03258963,0.1186785,0.0005767649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03177748,0.00002831616,0.9595589,0.007730662,0.00001137023,0.0008008661,0.000002206133,0.00003247194,0.00005769588],"genre_scores_gemma":[0.5169079,5.365155e-7,0.4816273,0.001156733,0.00003026914,0.0002632522,0.00000326547,0.000002394245,0.000008434307],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7339147,"threshold_uncertainty_score":0.2232416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04145626313155858,"score_gpt":0.3685546789996261,"score_spread":0.3270984158680675,"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."}}