{"id":"W2072143380","doi":"10.1007/s10664-015-9361-0","title":"Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults","year":2015,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Queen's University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Research Chairs","keywords":"Software design pattern; Structural pattern; Maintainability; Computer science; Design pattern; Flexibility (engineering); Architectural pattern; Data mining; Software design; Software; Software engineering; Software development; Programming language; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001023042,0.0002315016,0.0002515953,0.0001578685,0.00006277121,0.000101353,0.0004888271,0.00008073224,0.000002911724],"category_scores_gemma":[0.003305817,0.0001587772,0.00004636247,0.0003461154,0.00004465086,0.0001741825,0.00038994,0.0002956416,0.000005200353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008944839,"about_ca_system_score_gemma":0.00006893265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000999344,"about_ca_topic_score_gemma":0.000001716776,"domain_scores_codex":[0.9983786,0.00008821565,0.000187057,0.0003715898,0.0005674772,0.0004070174],"domain_scores_gemma":[0.9965886,0.002601533,0.00005026673,0.0004231094,0.0001065265,0.0002299091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001270167,0.00004930282,0.6266164,0.00009625548,0.00009065377,0.00003668867,0.003418905,0.2378717,0.0007354886,0.000006000992,0.0003785308,0.1306873],"study_design_scores_gemma":[0.0004210181,0.0008452768,0.5362682,0.0001072123,0.000007072729,0.00006007136,0.00001887735,0.4608599,0.001087066,0.00003947526,0.00002153528,0.0002643045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5271373,0.0002885897,0.472055,0.0001479371,0.00007322714,0.0001276358,0.000002222648,0.0001672721,8.079651e-7],"genre_scores_gemma":[0.9875284,0.00001141332,0.01228105,0.00004453666,0.00007452991,0.00002458677,8.969792e-7,0.00002638318,0.000008203441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.460391,"threshold_uncertainty_score":0.6474745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456268245412086,"score_gpt":0.381946844692815,"score_spread":0.2363200201516064,"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."}}