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dc.contributor.author | Пригожев, А. С. | |
dc.contributor.author | Prygozhev, О. | |
dc.date.accessioned | 2020-02-27T06:57:04Z | |
dc.date.available | 2020-02-27T06:57:04Z | |
dc.date.issued | 2019-09 | |
dc.identifier.citation | Prygozhev, O. (2019). Software code model based on bayesian network of functional graph. Information control systems and technologies, materials of the VIII International scientific-practical conference, Odessa, 23th–25th september, 2019, p. 145-149. | en |
dc.identifier.citation | Prygozhev, O. Software code model based on bayesian network of functional graph / O. Prygozhev // Інформ. управляючі системи та технології : матеріали VIII Міжнарод. наук.-практ. конф., м. Одеса, 23-25 верес. 2019 р. - Одеса, 2019. - P. 145-149. | en |
dc.identifier.issn | 978-617-7046-84-3 | |
dc.identifier.uri | http://dspace.opu.ua/jspui/handle/123456789/10331 | |
dc.description.abstract | Software sizе increase and time reduction for his development has led to the emergence of a new class of data storage systems - software code repositories. A common drawback of such systems is the storage of solved problem as software source text. This leads to redundant data storage within the repository. Therefore, it is advisable to move from storing multiple language implementations of the same task to storing the problem solution and generating it for different language syntaxes. | en |
dc.language.iso | en_US | en |
dc.publisher | Одеса "Екологія" | en |
dc.title | МОДЕЛЬ ПРОГРАММНОГО КОДА НА БАЙЕСОВСКОЙ СЕТИ ФУНКЦИОНАЛЬНЫХ ГРАФОВ | en |
dc.title.alternative | SOFTWARE CODE MODEL BASED ON BAYESIAN NETWORK OF FUNCTIONAL GRAPH | en |
dc.type | Article | en |
opu.kafedra | Кафедра інформаційних технологій | uk |
opu.citation.firstpage | 145 | en |
opu.citation.lastpage | 149 | en |
opu.citation.conference | Інформаційні управляючі системи та технології | en |
opu.staff.id | but.n.v@opu.ua | en |
opu.conference.dates | 23 - 25 вересня 2019 | en |