{"id":"W1971322849","doi":"10.1142/s0218194011005359","title":"MEASURING SOFTWARE FUNCTIONAL SIZE FROM BUSINESS PROCESS MODELS","year":2011,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Domain (mathematical analysis); Notation; Business Process Model and Notation; Software engineering; Data mining; Software; Software measurement; Business process modeling; Software quality; Business process; Software development; Programming language; Engineering; Work in process; Mathematics","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":[0.0003076241,0.0003432306,0.0004007267,0.0006622017,0.00007799236,0.0002300997,0.0004862057,0.0001219922,0.00007712182],"category_scores_gemma":[0.001327345,0.0003307942,0.0001564816,0.0005176563,0.0000250688,0.001986671,0.0001482374,0.0003591293,0.00001630999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006702817,"about_ca_system_score_gemma":0.00007335147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009532765,"about_ca_topic_score_gemma":0.000004457327,"domain_scores_codex":[0.998309,0.000003723326,0.0006122361,0.0002862251,0.0005043252,0.0002845434],"domain_scores_gemma":[0.9973311,0.000163344,0.0003037379,0.0001343461,0.002011013,0.00005644021],"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":[0.0002220398,0.0003562284,0.02171521,0.0008302489,0.001262267,0.0001701838,0.001123231,0.9466378,0.0009249245,0.001444191,0.0002237596,0.02508993],"study_design_scores_gemma":[0.003065291,0.0000269668,0.07385888,0.003274538,0.0006659189,0.000218552,0.0003039794,0.9068969,0.0009890868,0.005395572,0.003487151,0.001817133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3433161,0.001731565,0.6518188,0.000053964,0.002587841,0.00005398224,0.000007558003,0.0003052864,0.0001249258],"genre_scores_gemma":[0.9821417,0.00006847757,0.01471661,0.00005287497,0.002887381,0.000009306465,0.00001282371,0.00007751359,0.00003334151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6388256,"threshold_uncertainty_score":0.9999144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422670682794633,"score_gpt":0.1995926156395059,"score_spread":0.1653659088115596,"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."}}