{"id":"W2089640190","doi":"10.4018/jssci.2009040103","title":"On the Cognitive Complexity of Software and its Quantification and Formal Measurement","year":2009,"lang":"en","type":"article","venue":"International Journal of Software Science and Computational Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Programming complexity; Software construction; Software engineering; Cognitive complexity; Software sizing; Software system; Software; Software development; Verification and validation; Software metric; Theoretical computer science; Programming language; Cognition; Mathematics; Statistics","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":[0.001942029,0.0001198329,0.0001459243,0.0002459371,0.0002792788,0.0002330483,0.0006888022,0.00002740748,0.000003913819],"category_scores_gemma":[0.001790355,0.00008785942,0.0000375073,0.0003461219,0.0005849577,0.000743309,0.0001870707,0.0001877955,0.000001576207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005058753,"about_ca_system_score_gemma":0.0002377355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003099736,"about_ca_topic_score_gemma":0.000001176993,"domain_scores_codex":[0.997664,0.00005884981,0.0004154303,0.000257109,0.001442334,0.0001622859],"domain_scores_gemma":[0.9938634,0.0008748763,0.0003963033,0.00007307541,0.004692061,0.0001002806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009217887,0.0001319512,0.0005041801,0.000009086971,0.00004306035,0.000009761083,0.001059171,0.003258775,0.0001901616,0.2889209,0.00005079943,0.70573],"study_design_scores_gemma":[0.0005026383,0.001158959,0.1636999,0.0009998401,0.00002625427,0.0005809029,0.0004024322,0.3033328,0.006542908,0.5223624,0.00004998399,0.0003409927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1548775,0.0005322599,0.8422184,0.00198648,0.0002333351,0.00009354932,0.000005243948,0.00001405007,0.00003924889],"genre_scores_gemma":[0.985896,0.000105631,0.01314726,0.0007941461,0.00005028785,0.000001062461,8.53937e-7,0.000002307019,0.000002447738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8310186,"threshold_uncertainty_score":0.3582803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0955717602813108,"score_gpt":0.3229634957548701,"score_spread":0.2273917354735593,"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."}}