{"id":"W4366674475","doi":"10.1109/iccicc57084.2022.10101659","title":"A Cognitive Computing Methodology for Software Requirement Elicitation and Formal Specification","year":2022,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Software engineering; Software requirements; Software construction; Software requirements specification; Requirements elicitation; Formal methods; Requirements analysis; Software development; Formal specification; Software system; Software; Systems engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01479969,0.001559174,0.0008436406,0.004193163,0.002043615,0.004141912,0.00315832,0.001831228,0.005753249],"category_scores_gemma":[0.02502765,0.001019163,0.002637193,0.002376496,0.006110366,0.004411129,0.004017535,0.003811846,0.001634449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003644449,"about_ca_system_score_gemma":0.00747835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003388247,"about_ca_topic_score_gemma":0.004508517,"domain_scores_codex":[0.9807218,0.00938466,0.001261981,0.002335162,0.005912272,0.000384135],"domain_scores_gemma":[0.9774046,0.01426158,0.001426569,0.003649922,0.002818865,0.0004384428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000490738,0.0001614831,0.000356897,0.0005590011,0.00006203776,0.0002018054,0.002853409,0.009016969,0.009043989,0.8369228,0.002945767,0.1378268],"study_design_scores_gemma":[0.0001458573,0.0002381104,0.000529733,0.0004634857,0.00008623226,0.0007505423,0.0009807087,0.1552622,0.0161395,0.7004333,0.124768,0.0002021751],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003696583,0.00003438723,0.9976113,0.0001965718,0.00001165599,0.0001642256,0.00002335585,0.0001381031,0.001450895],"genre_scores_gemma":[0.01213094,0.00006604867,0.9861866,0.00009470089,0.00001983683,0.0005777516,0.0000626514,0.00004324243,0.000818192],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01479969,"threshold_uncertainty_score":0.07826912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418377217253592,"score_gpt":0.3500112770543981,"score_spread":0.2081735553290389,"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."}}