{"id":"W163197604","doi":"","title":"From Requirements to Architectural Design -Using Goals and Scenarios","year":2001,"lang":"en","type":"article","venue":"International Conference on Software Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Operationalization; Notation; Software engineering; Domain (mathematical analysis); Architectural design; Systems engineering; Architecture; Functional requirement; Focus (optics); Realization (probability); Programming language; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221677,0.0002375453,0.0001959905,0.00025778,0.00004954371,0.0001705888,0.0008010674,0.00006067262,0.00002301305],"category_scores_gemma":[0.001472411,0.0002448306,0.00003607616,0.0001986973,0.00001764468,0.0004007749,0.0003227862,0.0002003193,0.00002053759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353429,"about_ca_system_score_gemma":0.00003321048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003576895,"about_ca_topic_score_gemma":0.000001202436,"domain_scores_codex":[0.9985898,0.00004106716,0.0002334436,0.0004778953,0.0003539423,0.0003038952],"domain_scores_gemma":[0.9988094,0.0005445445,0.00005374403,0.0003345596,0.000113853,0.0001439026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002806791,0.00001541154,0.0005578387,0.000005582532,0.00005340908,0.00006522043,0.0006952675,0.9274612,0.01112365,0.004637054,0.00002085163,0.05533646],"study_design_scores_gemma":[0.0006887011,0.0002084928,0.008820927,0.0005392694,0.00001140891,0.000120811,0.00005333916,0.9668408,0.008142068,0.01279898,0.0007416513,0.001033533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07294609,0.00004449222,0.9250095,0.0002304917,0.0009593469,0.0001481984,0.000007001862,0.000633247,0.00002162511],"genre_scores_gemma":[0.2983222,0.00001207089,0.7013574,0.0001193065,0.000114929,0.00001682155,0.000002693828,0.00001702451,0.00003747894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2253761,"threshold_uncertainty_score":0.9983903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1436433932733234,"score_gpt":0.3459438942493221,"score_spread":0.2023005009759987,"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."}}