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Software tools and techniques for the expert systems building

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dc.contributor.author Enikeev A.
dc.contributor.author Burnashev R.
dc.contributor.author Vakhitov G.
dc.date.accessioned 2021-02-25T07:01:42Z
dc.date.available 2021-02-25T07:01:42Z
dc.date.issued 2020
dc.identifier.issn 2194-5357
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/161614
dc.description.abstract © Springer Nature Singapore Pte Ltd. 2020. The report presents the results of research on the creation of CASE tools that provide the ability to effectively build expert systems. As a part of the creation of CASE tools, we focus on building an integrated development environment that includes a combination of SWI-Prolog, Java, Python programming languages, Post-greSQL database management system (DBMS) as well as telemetry tools. On the basis of the created integrated development environment, an experimental version of the expert system was built. This expert system is mainly focused on automating the analysis processes and forming requirements for the software applications and hardware being developed using the built-in telemetry tools and taking into account the specifics of the corresponding subject area. The expert system is performed using the logical rules concerning the characteristics of workstations and corresponding software systems. As a result, the expert system forms requirements and recommendations to the properties of the software and hardware products being developed.
dc.relation.ispartofseries Advances in Intelligent Systems and Computing
dc.subject CASE tools
dc.subject Continuous integration
dc.subject Database management systems
dc.subject Expert system
dc.subject Telemetry
dc.title Software tools and techniques for the expert systems building
dc.type Conference Paper
dc.relation.ispartofseries-volume 1041
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 191
dc.source.id SCOPUS21945357-2020-1041-SID85077136620


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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