{"id":"W2041974913","doi":"10.1109/scam.2010.25","title":"Deriving Coupling Metrics from Call Graphs","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Coupling (piping); Call graph; Theoretical computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000578385,0.0002809383,0.0003097722,0.0005985172,0.00007667878,0.0006718718,0.003303768,0.0004835808,0.00005611682],"category_scores_gemma":[0.001830733,0.0002755084,0.0001461986,0.0007057439,0.00003482592,0.0001573034,0.00501469,0.002170865,0.00009617668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008728049,"about_ca_system_score_gemma":0.0002204231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264616,"about_ca_topic_score_gemma":0.00006559612,"domain_scores_codex":[0.9975561,0.00001678499,0.0002803085,0.0008932024,0.0007779937,0.0004755488],"domain_scores_gemma":[0.9954971,0.002143207,0.00007808765,0.001859871,0.0001985772,0.0002231258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001356526,0.0006224647,0.3910483,0.001091811,0.001338829,0.0009743497,0.003801944,0.3307968,0.01754648,0.06399731,0.02259053,0.1661776],"study_design_scores_gemma":[0.0001161683,0.00001157661,0.02451119,0.0000831877,0.000009023104,0.000003182215,0.00000303194,0.961435,0.003362017,0.008886079,0.001032231,0.0005473133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1825065,0.0003675793,0.8131288,0.000142715,0.002380814,0.0001671002,0.000005963761,0.00109074,0.0002097783],"genre_scores_gemma":[0.6120097,0.00004928563,0.3875245,0.00004684658,0.000140132,0.00002890403,0.00001144145,0.00003008612,0.0001591232],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6306382,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888892690797957,"score_gpt":0.2791611540567684,"score_spread":0.2502722271487888,"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."}}