{"id":"W2070673450","doi":"10.1109/ccece.2013.6567812","title":"Software architecture decomposition using adaptive K-nearest neighbor algorithm","year":2013,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Architecture tradeoff analysis method; Decomposition; Software engineering; Software; Software architecture; Software development; Software system; Cluster analysis; Software construction; Reference architecture; Data mining; Computer architecture; Artificial intelligence; Programming language","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":[0.000901918,0.0007211338,0.0009654252,0.00258629,0.0009991546,0.0008154844,0.001377175,0.001027368,0.001229382],"category_scores_gemma":[0.002815184,0.0004755086,0.001004784,0.001884916,0.0004141321,0.001208876,0.0007939825,0.0006736452,0.0005226391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007891076,"about_ca_system_score_gemma":0.00132935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218692,"about_ca_topic_score_gemma":0.01179335,"domain_scores_codex":[0.9985718,0.0002461397,0.0001203614,0.0003032604,0.0006347531,0.000123746],"domain_scores_gemma":[0.9986554,0.0002521388,0.0001431275,0.0001470192,0.0007552555,0.00004702114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000179665,0.0001582471,0.003238215,0.0001470768,0.000132978,0.000163044,0.0003811864,0.4729103,0.01623237,0.00453489,0.002947898,0.4989741],"study_design_scores_gemma":[0.000007225609,0.00002298796,0.000546533,0.00000493403,0.00001171608,0.00004665522,0.00005356776,0.994287,0.002262243,0.001953625,0.0007890489,0.00001446962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01846954,0.00008063071,0.9799605,0.00003373282,0.00001668542,0.00006918528,0.00003443825,0.0005633619,0.0007718552],"genre_scores_gemma":[0.1677842,0.00008901287,0.8302922,0.00002243494,0.00001079412,0.0001173877,0.0002415738,0.00008706349,0.001355314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01218692,"threshold_uncertainty_score":0.02423197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231685987209967,"score_gpt":0.2473001812912446,"score_spread":0.2349833214191449,"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."}}