{"id":"W2113938369","doi":"10.1109/re.2006.14","title":"Deriving Architectures from Requirements","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Software engineering; Requirements engineering; Requirements analysis; Software architecture; Software requirements specification; Non-functional requirement; Software requirements; Systems engineering; Process (computing); Software system; Architecture; Software architecture description; Reference architecture; Software; Component-based software engineering; Software construction; Engineering; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102458,0.00008205992,0.0000814321,0.00004358614,0.00004019252,0.00004765992,0.0004766476,0.00002418031,0.00000901589],"category_scores_gemma":[0.0001495812,0.00007008129,0.00002531036,0.0001135282,0.00001606966,0.0001213475,0.0001913713,0.00006096944,0.00001803648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001922161,"about_ca_system_score_gemma":0.00000767777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331414,"about_ca_topic_score_gemma":0.00001534351,"domain_scores_codex":[0.9993373,0.00003513261,0.0001060133,0.0002195159,0.0001256747,0.0001763948],"domain_scores_gemma":[0.9992095,0.0003821873,0.00002438187,0.0003495661,0.00001285291,0.00002150173],"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":[0.000004443134,0.00005898364,0.006197647,0.00001276054,0.00003345435,0.00005651511,0.0003905189,0.5335228,0.06608732,0.07789977,0.001535856,0.3141999],"study_design_scores_gemma":[0.0002441327,0.00003017175,0.08316521,0.0000200653,0.000003061912,0.000005982022,0.00000854429,0.01170177,0.07963386,0.8223351,0.002450827,0.0004012667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02363293,0.0001081306,0.9729105,0.0001119484,0.0002593816,0.00003541674,4.997987e-7,0.0009402244,0.002000931],"genre_scores_gemma":[0.2864628,5.891221e-7,0.7132271,0.00007040262,0.00005330408,0.000003294979,7.11162e-7,0.000004367851,0.0001774043],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7444353,"threshold_uncertainty_score":0.2857832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071830767854591,"score_gpt":0.2767732791327389,"score_spread":0.246054971454193,"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."}}