{"id":"W7043778068","doi":"","title":"Validating the ISO/IEC 15504 measure of software requirements analysis process capability","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Process (computing); Requirements analysis; Software; Work (physics); Quality assurance; Software requirements specification; Requirement prioritization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05665816,0.00066104,0.0005647573,0.006195843,0.0009010664,0.003679079,0.001959961,0.001610449,0.002458578],"category_scores_gemma":[0.1776533,0.0004367158,0.001007753,0.00308452,0.001211162,0.004541304,0.002138393,0.001624753,0.001500606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003778758,"about_ca_system_score_gemma":0.009665112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006012737,"about_ca_topic_score_gemma":0.006544769,"domain_scores_codex":[0.9110086,0.02610287,0.008148366,0.002904687,0.04999913,0.0018363],"domain_scores_gemma":[0.7268983,0.1109987,0.0168282,0.02950081,0.1136772,0.002096754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001269333,0.004526061,0.3285244,0.001184465,0.0005485599,0.0002631653,0.00524904,0.03509518,0.0562415,0.04718658,0.01483901,0.5050727],"study_design_scores_gemma":[0.0006184651,0.01366633,0.4366235,0.00169508,0.0006328829,0.0007892281,0.006834392,0.2801514,0.1645505,0.01807356,0.07590967,0.0004550679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8125753,0.0001969132,0.1144208,0.0009797962,0.0002001278,0.001248785,0.001672729,0.00131971,0.06738566],"genre_scores_gemma":[0.8971045,0.0000673892,0.09683619,0.0001467052,0.00002129465,0.0007723804,0.002493692,0.0001960834,0.002361693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05665816,"threshold_uncertainty_score":0.2996406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535028813625825,"score_gpt":0.2882048550242371,"score_spread":0.2628545668879789,"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."}}