{"id":"W2314148015","doi":"10.1111/j.1937-5956.2010.01215.x","title":"Optimal Enhancement and Lifetime of Software Systems: A Control Theoretic Analysis","year":2011,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Realization (probability); Lag; Maturity (psychological); Software; Process (computing); Control (management); Optimal control; Quality (philosophy); Risk analysis (engineering); Industrial engineering; Mathematical optimization; Operations research; Artificial intelligence; 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":[0.0006065246,0.00008306585,0.0001761218,0.0003103491,0.0001602771,0.0001094505,0.0001640148,0.00001999043,0.00004227744],"category_scores_gemma":[0.00007110271,0.00006923039,0.00004528037,0.0005759047,0.0001003766,0.0002382781,0.000129174,0.00004535,0.000005537239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001651117,"about_ca_system_score_gemma":0.00001106871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005957645,"about_ca_topic_score_gemma":0.000007020025,"domain_scores_codex":[0.998939,0.0001083383,0.000241353,0.0003774775,0.0002136042,0.0001201987],"domain_scores_gemma":[0.999349,0.00001999566,0.00003986602,0.0003933238,0.0001514976,0.0000463438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001021551,0.001646452,0.03077443,0.00107348,0.006287547,0.00001220487,0.00947786,0.1034664,0.0003590531,0.7770986,0.0003852178,0.06931658],"study_design_scores_gemma":[0.001121395,0.0005617393,0.03569204,0.0001166105,0.002102663,0.0000133196,0.001589736,0.9520082,0.002764407,0.002254691,0.001120241,0.0006549465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05915417,0.0005332435,0.9391366,0.0004255571,0.00006576071,0.000394219,0.000001621862,0.0000441107,0.0002447212],"genre_scores_gemma":[0.9512666,0.0004963424,0.04744968,0.00002361403,0.00001547121,0.00009209645,0.000002551881,0.000002648949,0.0006509526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8921125,"threshold_uncertainty_score":0.2823133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353451273869412,"score_gpt":0.2416006243712622,"score_spread":0.2280661116325681,"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."}}