{"id":"W2171618950","doi":"10.1109/csmr.2005.49","title":"Software Clustering Based on Dynamic Dependencies","year":2005,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Cluster analysis; Data mining; Software system; Software; Software construction; Software sizing; Software engineering; 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":[0.002925816,0.0008086174,0.0007832551,0.006902616,0.00199477,0.001844143,0.001299064,0.0008292371,0.00163933],"category_scores_gemma":[0.02471644,0.0004412733,0.0007401638,0.005474833,0.001386096,0.003201782,0.00221365,0.0009754722,0.000476886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081566,"about_ca_system_score_gemma":0.001699414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007815504,"about_ca_topic_score_gemma":0.009526026,"domain_scores_codex":[0.9954721,0.001060072,0.0002785461,0.0007999059,0.002007673,0.0003818272],"domain_scores_gemma":[0.9773759,0.008913194,0.002057735,0.004896187,0.006141698,0.0006152863],"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":[0.001143609,0.0003901148,0.0646278,0.0006239905,0.0004120336,0.0006267414,0.001958375,0.3832634,0.03386854,0.05186065,0.007841907,0.4533829],"study_design_scores_gemma":[0.00005104012,0.0002218091,0.02348123,0.00006100459,0.0001388799,0.0005157633,0.0005561684,0.9047334,0.02250472,0.04159157,0.00602517,0.0001193355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5124422,0.0005448541,0.4698864,0.000352272,0.00008672753,0.0003925088,0.001098027,0.00289661,0.01230048],"genre_scores_gemma":[0.8290916,0.0002196854,0.1666336,0.00004719819,0.0000234872,0.0001793555,0.001662582,0.0003514041,0.001790949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007815504,"threshold_uncertainty_score":0.01554006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310430193199962,"score_gpt":0.2577414525729553,"score_spread":0.2446371506409556,"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."}}