{"id":"W2166054436","doi":"10.1145/1921705.1921706","title":"Measurement of software requirements derived from system reliability requirements","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Reliability engineering; Software requirements specification; Non-functional testing; Computer science; Software quality; Reliability (semiconductor); Functional requirement; Software requirements; System requirements; Software system; Software; Software reliability testing; System requirements specification; Verification and validation; Avionics software; Requirements analysis; Software construction; Software development; Software engineering; Requirement; Engineering; Operating system","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":[0.002752136,0.0002310016,0.0004451054,0.0001512061,0.0001744158,0.0001292309,0.001899181,0.0001533847,0.0001577214],"category_scores_gemma":[0.001463732,0.000192091,0.000237373,0.0006241491,0.0001575394,0.0006239705,0.0006975753,0.0003260757,0.000112444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002317562,"about_ca_system_score_gemma":0.000264981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001278983,"about_ca_topic_score_gemma":0.0001866099,"domain_scores_codex":[0.9953021,0.0002494206,0.000815484,0.000871197,0.002287376,0.0004744313],"domain_scores_gemma":[0.9958805,0.0001988068,0.0002277332,0.002267209,0.001173333,0.0002523832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009421303,0.00159031,0.3609391,0.0007603955,0.0005881055,0.00002634139,0.0007164851,0.0001391136,0.5336655,0.008892776,0.001057302,0.09153029],"study_design_scores_gemma":[0.003802965,0.0005324068,0.2779689,0.0007313629,0.0001819852,0.000008223721,0.0004335702,0.05272884,0.6477326,0.01109901,0.003108331,0.001671874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4506508,0.00006061879,0.546923,0.0002699639,0.0005375695,0.0003564018,0.000009033758,0.0003998258,0.0007927842],"genre_scores_gemma":[0.9053423,0.000005935415,0.09446485,0.00004195244,0.00005104814,0.0000335857,0.00000505277,0.00001090658,0.00004435985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4546915,"threshold_uncertainty_score":0.7833244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205296260434291,"score_gpt":0.2902650944179155,"score_spread":0.2482121318135726,"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."}}