{"id":"W2142033303","doi":"10.1109/32.888627","title":"Management of performance requirements for information systems","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Non-functional requirement; System requirements; Software engineering; Requirements analysis; Requirements management; Process (computing); Domain (mathematical analysis); Requirements engineering; Systems engineering; Information system; Functional requirement; Variety (cybernetics); Software system; Software; Engineering; Software construction; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002244706,0.0001435614,0.0001657215,0.0001448449,0.0001019186,0.0000465058,0.0003324868,0.00006402928,0.00001069315],"category_scores_gemma":[0.000002019883,0.0001369915,0.00008736266,0.0003219409,0.00001125024,0.001119323,0.000001624562,0.00008346508,0.00004868741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007864786,"about_ca_system_score_gemma":0.00001608614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000522215,"about_ca_topic_score_gemma":7.549716e-8,"domain_scores_codex":[0.9989375,0.000007769851,0.0003947025,0.0001686483,0.0002658149,0.0002256021],"domain_scores_gemma":[0.9993351,0.00004856597,0.00005731162,0.0004285698,0.00007869196,0.00005183006],"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":[0.00002250017,0.00004718779,0.00005879349,0.001163546,0.00006310826,5.050692e-7,0.0002104857,0.7690185,0.00001123077,0.0002947224,0.00002345222,0.229086],"study_design_scores_gemma":[0.002023912,0.0005522959,0.002532976,0.001376997,0.00006428907,0.00002514413,0.00005783364,0.945338,0.01296489,0.000009552847,0.03432772,0.0007264131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03823887,0.00003030187,0.9596623,0.000005529047,0.00105205,0.0004969135,0.00001336368,0.0003817238,0.0001190133],"genre_scores_gemma":[0.9514524,0.00008365615,0.04801217,0.00001085521,0.0000173004,0.0002238055,0.000002489297,0.000009822477,0.000187499],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9132136,"threshold_uncertainty_score":0.5586352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031611730292835,"score_gpt":0.2148804232585977,"score_spread":0.2045643059556693,"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."}}