{"id":"W2529682206","doi":"10.1109/qrs.2016.21","title":"Model-Driven Evaluation of Software Architecture Quality Using Model Clone Detection","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Software quality; Software architecture; Software engineering; Architecture; clone (Java method); Context (archaeology); Reference architecture; Quality (philosophy); Software; Architectural model; Software development; 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":[0.01399714,0.001130207,0.0007905234,0.004068789,0.0005639233,0.002825968,0.001192194,0.000974566,0.001050093],"category_scores_gemma":[0.06045497,0.0005034918,0.001084032,0.001887515,0.000914263,0.003150374,0.001805741,0.001194396,0.000191738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472564,"about_ca_system_score_gemma":0.001950551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249362,"about_ca_topic_score_gemma":0.005009579,"domain_scores_codex":[0.9862275,0.00626387,0.000816702,0.0007005531,0.0056575,0.0003339413],"domain_scores_gemma":[0.9511866,0.0251611,0.004734232,0.006803588,0.01153462,0.0005797695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001010827,0.001301883,0.09990486,0.0006467762,0.0007502027,0.0002897009,0.002741847,0.4307936,0.07800027,0.0323684,0.002053579,0.3501381],"study_design_scores_gemma":[0.00005046166,0.0004712364,0.009275331,0.00004768497,0.00007480002,0.0001035032,0.0002688073,0.953359,0.02909235,0.006238858,0.0009492676,0.00006869485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2925946,0.0001609381,0.7009575,0.0002637615,0.00003226069,0.0004107672,0.0001517709,0.002625624,0.002802825],"genre_scores_gemma":[0.7126148,0.00006246234,0.2860717,0.00004903099,0.00000796498,0.0002447566,0.0002730512,0.0002395047,0.0004367199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01399714,"threshold_uncertainty_score":0.0740248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240722011598868,"score_gpt":0.3610301952322685,"score_spread":0.2369579940723817,"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."}}