{"id":"W2274972169","doi":"","title":"Impacts and detection of design smells","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Code smell; Computer science; Principal (computer security); Software engineering; Software design; Software design pattern; Program comprehension; Comprehension; Object-oriented design; Empirical research; Coding (social sciences); Software; Software development; Engineering; Software quality; Software system; Computer security; 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":[0.009729785,0.001080488,0.0006887921,0.002670638,0.0004623809,0.002253949,0.0008301329,0.001180132,0.00199545],"category_scores_gemma":[0.1410685,0.0006292483,0.0007874333,0.001064462,0.0009489164,0.002532629,0.001838538,0.001365819,0.000487673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006756529,"about_ca_system_score_gemma":0.0006421171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073249,"about_ca_topic_score_gemma":0.001081019,"domain_scores_codex":[0.9838324,0.005267049,0.001475549,0.002354281,0.006497217,0.0005735762],"domain_scores_gemma":[0.6739042,0.2432205,0.05324532,0.01117282,0.01416302,0.004294189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002468944,0.002248095,0.8518478,0.0005710247,0.0003553855,0.0004309046,0.006310708,0.002623474,0.03788611,0.0002401298,0.0006513674,0.09436606],"study_design_scores_gemma":[0.00007786264,0.003007028,0.9769071,0.00006059353,0.0001435688,0.0003623762,0.001357286,0.008446173,0.008380395,0.0004064294,0.0007678129,0.00008345884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963057,0.0001640114,0.001911987,0.00008468609,0.00001131884,0.00008443045,0.0001025221,0.0001433055,0.0011921],"genre_scores_gemma":[0.9963973,0.00006948713,0.002783211,0.00005278066,0.00001269636,0.00007532124,0.0002023795,0.00003319621,0.0003736548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009729785,"threshold_uncertainty_score":0.05145663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286342656875724,"score_gpt":0.2830729981501948,"score_spread":0.2602095715814375,"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."}}