{"id":"W1631202982","doi":"10.1109/compsac.2015.256","title":"Adaptive Clustering Techniques for Software Components and Architecture","year":2015,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Fuzzy clustering; FLAME clustering; Hierarchical clustering; Metric (unit); Software metric; Software; Component (thermodynamics); Correlation clustering; CURE data clustering algorithm; Artificial intelligence; Software system; Software construction; 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":[0.001017796,0.000842237,0.0006132199,0.002911622,0.0008469368,0.0008112866,0.001570139,0.0008855598,0.002051688],"category_scores_gemma":[0.003988469,0.000416223,0.001147656,0.003041348,0.0006788604,0.001266102,0.0008972936,0.001071903,0.0008637153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147587,"about_ca_system_score_gemma":0.001009675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007499811,"about_ca_topic_score_gemma":0.006805646,"domain_scores_codex":[0.9987575,0.0002254971,0.00006647335,0.0002625777,0.0006270749,0.00006086347],"domain_scores_gemma":[0.9988233,0.0003656639,0.0001290212,0.0001745933,0.0004831115,0.00002428342],"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":[0.00007785999,0.00004716826,0.0009984012,0.0002508737,0.0001462007,0.0001123856,0.0003495085,0.3765232,0.01368175,0.04454622,0.004585371,0.5586811],"study_design_scores_gemma":[0.00001101009,0.00003553645,0.0008405845,0.00002946076,0.00002855423,0.0001504828,0.00007073767,0.9588624,0.004298058,0.02538325,0.01025858,0.0000312286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002407473,0.0003699801,0.9957254,0.00006017279,0.00002676696,0.00003596654,0.0000239249,0.0003397541,0.001010533],"genre_scores_gemma":[0.1464545,0.0009581564,0.8487012,0.00007302388,0.00007058856,0.0001907437,0.000230674,0.0001714167,0.003149765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007499811,"threshold_uncertainty_score":0.01491231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04937350249887535,"score_gpt":0.2831740470574781,"score_spread":0.2338005445586028,"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."}}