{"id":"W2099069768","doi":"10.1109/tse.2005.106","title":"Analyzing the evolutionary history of the logical design of object-oriented software","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Software evolution; Unified Modeling Language; Object-oriented design; Software system; Class (philosophy); Programming language; Inheritance (genetic algorithm); Sequence diagram; Class diagram; Abstraction; Object-oriented programming; Sequence (biology); Software; Software engineering; Artificial intelligence; Software construction","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":[0.0004197127,0.0002350378,0.0002556915,0.0002742831,0.0001169293,0.00001430527,0.001179586,0.0001175267,0.00003995413],"category_scores_gemma":[0.0004607349,0.0001686589,0.0002413252,0.0009317167,0.0001252288,0.0002833836,0.00002035272,0.0005878521,0.00001068296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006216825,"about_ca_system_score_gemma":0.0002550935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001683022,"about_ca_topic_score_gemma":0.000001369197,"domain_scores_codex":[0.9981752,0.00009757753,0.0004165932,0.0003418113,0.0005885712,0.0003802246],"domain_scores_gemma":[0.9966583,0.002003282,0.00009856803,0.0009715506,0.0001800916,0.00008816914],"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":[0.00001133908,0.0000936771,0.0003742613,0.00004319291,0.0000623676,0.000002139471,0.0004358057,0.9907586,0.0009712801,0.0001320116,0.0004446121,0.006670728],"study_design_scores_gemma":[0.00128317,0.0004294081,0.02803873,0.0006036256,0.0001254828,0.0001329571,0.00004341205,0.9085846,0.0500042,0.00006462055,0.009605684,0.001084115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006168389,0.0008777481,0.9909637,0.00008248934,0.001119242,0.0002872906,0.000009257836,0.000487829,0.000004080559],"genre_scores_gemma":[0.8099418,0.00003066129,0.189605,0.00002442699,0.00005419869,0.00005998187,4.607822e-7,0.00003207577,0.0002513549],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8037734,"threshold_uncertainty_score":0.687771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065955642586971,"score_gpt":0.2251681173874997,"score_spread":0.2045085609616299,"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."}}