{"id":"W2136555272","doi":"10.1016/j.ress.2004.08.024","title":"An effective technique for the software requirements analysis of NPP safety-critical systems, based on software inspection, requirements traceability, and formal specification","year":2004,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Atomic Energy of Canada Limited","keywords":"Traceability; Requirements traceability; Computer science; Software requirements specification; Software requirements; Formal specification; Verification and validation; Software engineering; Requirements analysis; Formal methods; Software system; Reliability engineering; Software construction; Functional requirement; Software; Systems engineering; Requirement; Engineering; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0070091,0.0004237633,0.0009218546,0.0006010076,0.0006189118,0.0001957275,0.001051629,0.0002645269,0.000003025322],"category_scores_gemma":[0.003373835,0.0003405996,0.0004582393,0.002309729,0.000223981,0.000870152,0.0001398022,0.0003748667,0.000002585823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708356,"about_ca_system_score_gemma":0.0001707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002925957,"about_ca_topic_score_gemma":0.00001818725,"domain_scores_codex":[0.9951374,0.0004645873,0.001394976,0.001211769,0.001137555,0.000653744],"domain_scores_gemma":[0.9927017,0.003460846,0.0002632733,0.002358053,0.0009579609,0.0002581844],"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":[0.0002966164,0.0006151124,0.0140183,0.002822948,0.0005152958,0.000002419938,0.0003307586,0.9594221,0.0008166641,0.01829716,0.000004679384,0.002857908],"study_design_scores_gemma":[0.0009777925,0.000621723,0.1034579,0.000540679,0.0005267695,0.000006798821,0.0001391278,0.8915247,0.001405716,0.0002138678,0.0001367714,0.0004481663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009572631,0.0001572647,0.985402,0.0002496885,0.0003030815,0.003281096,0.0001607308,0.0008623792,0.00001112305],"genre_scores_gemma":[0.9434561,0.00001705338,0.05550991,0.00001115957,0.00006986044,0.0008473244,0.00005472253,0.00003187227,0.000002034586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9338834,"threshold_uncertainty_score":0.9999046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485468640863993,"score_gpt":0.2864042797227543,"score_spread":0.2715495933141144,"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."}}