{"id":"W4366149280","doi":"10.1016/j.procs.2023.03.077","title":"Maintenance Cost of Software Ecosystem Updates","year":2023,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Software; Software maintenance; Software development; Ecosystem; Software engineering; Software analytics; Software construction; Operating system; Ecology","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":[0.002493422,0.0005489407,0.0005045333,0.002395031,0.0005691856,0.00183627,0.001460957,0.0008985949,0.002374143],"category_scores_gemma":[0.0221131,0.0003596567,0.0006096584,0.001713919,0.0005976571,0.002832546,0.0009076552,0.000722814,0.00028204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002579341,"about_ca_system_score_gemma":0.001115631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120795,"about_ca_topic_score_gemma":0.008855931,"domain_scores_codex":[0.9976361,0.000448653,0.0001884782,0.0003452811,0.001097438,0.0002839914],"domain_scores_gemma":[0.9880372,0.007152336,0.001437338,0.001194214,0.001815507,0.0003634416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005134218,0.0002135958,0.05106789,0.0003461096,0.000152795,0.000850568,0.000389752,0.7868837,0.007581998,0.0221375,0.004494928,0.1253678],"study_design_scores_gemma":[0.00001882909,0.0002096391,0.01568409,0.00004235454,0.0001265991,0.0005697543,0.0002533828,0.9715897,0.00292496,0.006457326,0.00208729,0.00003622348],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264377,0.001516255,0.05923766,0.0007997404,0.0001165719,0.0001310158,0.001342755,0.0009022784,0.009515896],"genre_scores_gemma":[0.9893746,0.000323261,0.008137965,0.00002575341,0.00001346988,0.00003142503,0.0005496926,0.00008539415,0.001458407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0120795,"threshold_uncertainty_score":0.02401841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677342154704952,"score_gpt":0.2577916063472722,"score_spread":0.2410181848002227,"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."}}