{"id":"W4205540067","doi":"10.38028/esi.2021.24.4.009","title":"REENGINEERING TECHNIQUE ADAPTATION OF LEGACY SOFTWARE SYSTEMS","year":2022,"lang":"ru","type":"article","venue":"Информационные и математические технологии в науке и управлении","topic":"Engineering Education and Technology","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Siberian Branch, Russian Academy of Sciences; Russian Foundation for Basic Research; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Business process reengineering; Computer science; Adaptation (eye); Legacy system; Software system; Process management; Software; Software engineering; Systems engineering; Engineering; Manufacturing engineering; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034388,0.0003708549,0.0002965452,0.001221648,0.0005567794,0.00166445,0.0009609812,0.0007666474,0.001883291],"category_scores_gemma":[0.003588943,0.0002322032,0.0005800533,0.001070548,0.0004240131,0.001508904,0.001307704,0.0007085141,0.0009622675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000341782,"about_ca_system_score_gemma":0.0007739651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001394234,"about_ca_topic_score_gemma":0.001350633,"domain_scores_codex":[0.998611,0.0003795441,0.00009964209,0.0002446243,0.0005553769,0.0001099103],"domain_scores_gemma":[0.9982784,0.0004396112,0.0001901868,0.0007436675,0.0002840119,0.00006418121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001400738,0.0002191205,0.005406886,0.0003964972,0.00008769992,0.00106283,0.003103788,0.01452676,0.06196897,0.026088,0.001976249,0.8850232],"study_design_scores_gemma":[0.0001124619,0.001207892,0.05348008,0.0006120876,0.0005589158,0.009040609,0.003392103,0.3135511,0.1871947,0.05991005,0.3706146,0.0003253752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2395111,0.003672004,0.7051677,0.0004918365,0.0002685979,0.000355222,0.0001184503,0.00400071,0.04641449],"genre_scores_gemma":[0.7407004,0.002445836,0.2347489,0.0001040197,0.0001037527,0.0001463633,0.0002657231,0.000386132,0.02109883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001883291,"threshold_uncertainty_score":0.006300271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523972855333165,"score_gpt":0.2219225731209899,"score_spread":0.2066828445676583,"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."}}