{"id":"W2168328460","doi":"10.5555/2075144.2075179","title":"System identification for adaptive software systems: a requirements engineering perspective","year":2011,"lang":"en","type":"article","venue":"International Conference on Conceptual Modeling","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Identification (biology); Computer science; Process (computing); Perspective (graphical); Control engineering; Control system; Requirements engineering; System identification; Adaptive control; Software system; Adaptive system; Software; Control (management); Control theory (sociology); Engineering; Data modeling; Software engineering; Artificial intelligence","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":[0.00475652,0.001033784,0.001367503,0.001349258,0.0006531837,0.002476132,0.001875907,0.002126471,0.002513189],"category_scores_gemma":[0.01459235,0.001145124,0.001308467,0.0008514686,0.00235171,0.003188814,0.001722595,0.002193341,0.0005347818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113968,"about_ca_system_score_gemma":0.001832546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003147017,"about_ca_topic_score_gemma":0.002072158,"domain_scores_codex":[0.9954503,0.002101813,0.0002520391,0.0003382023,0.001593119,0.0002645199],"domain_scores_gemma":[0.9902282,0.007721769,0.0004321297,0.0006316063,0.0008944809,0.00009184578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001095964,0.0001515537,0.001330171,0.0007168246,0.0001483119,0.0006383202,0.0008590656,0.5052,0.01099385,0.3743158,0.001514347,0.1040221],"study_design_scores_gemma":[0.00002981116,0.000108543,0.0003722181,0.0001367284,0.00004683973,0.0002246571,0.0002882097,0.8391023,0.003946333,0.1512591,0.004445018,0.00004021037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003850079,0.0002464498,0.9928488,0.0005371882,0.00001225742,0.00005291396,0.00001409008,0.0001034664,0.002334767],"genre_scores_gemma":[0.4327851,0.00161588,0.5606006,0.0003651829,0.0001726695,0.0004236563,0.0001692288,0.0001233557,0.003744267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00475652,"threshold_uncertainty_score":0.02515519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2800596188748112,"score_gpt":0.3427879297650844,"score_spread":0.0627283108902732,"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."}}