{"id":"W2154473425","doi":"10.1109/wcre.2007.5","title":"A Model to Understand the Building and Running Inter-Dependencies of Software","year":2007,"lang":"en","type":"article","venue":"Proceedings - Working Conference on Reverse Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Dependency (UML); Software; Software visualization; Modular design; Software architecture; Software engineering; Software framework; Software system; Architecture; Visualization; Software construction; Programming language; Data mining","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":[0.001236107,0.001020545,0.0005641402,0.001752462,0.001038456,0.002730604,0.002214129,0.002450472,0.005978746],"category_scores_gemma":[0.004740607,0.0006322818,0.001365929,0.001645229,0.002176002,0.008348721,0.002052491,0.002805464,0.001793403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421151,"about_ca_system_score_gemma":0.0026256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006917884,"about_ca_topic_score_gemma":0.005369041,"domain_scores_codex":[0.9991482,0.0002366505,0.00005815498,0.0002065174,0.0002527954,0.00009765055],"domain_scores_gemma":[0.997772,0.001000631,0.0002551817,0.0005220936,0.0003044531,0.0001455423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000233313,0.0000664654,0.0009124298,0.000106753,0.00002742496,0.0003387323,0.0007786294,0.07544339,0.001835519,0.9039908,0.002622156,0.0138544],"study_design_scores_gemma":[0.00002786247,0.00005676061,0.0005071123,0.00008336995,0.00004304297,0.0002595823,0.0002158921,0.3976311,0.0009192659,0.5513929,0.04882824,0.00003480016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008192883,0.0002846874,0.97459,0.001583489,0.00007610227,0.00008967338,0.0003184489,0.0006556232,0.01420913],"genre_scores_gemma":[0.2928679,0.001666135,0.6821551,0.0005816112,0.0002040006,0.0009299528,0.00119676,0.000428579,0.01996996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006917884,"threshold_uncertainty_score":0.02000087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09417299663578567,"score_gpt":0.2972885560122112,"score_spread":0.2031155593764255,"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."}}