dc.contributor.author |
Burnashev R. |
|
dc.contributor.author |
Enikeev A. |
|
dc.date.accessioned |
2021-02-25T20:55:11Z |
|
dc.date.available |
2021-02-25T20:55:11Z |
|
dc.date.issued |
2020 |
|
dc.identifier.uri |
https://dspace.kpfu.ru/xmlui/handle/net/162627 |
|
dc.description.abstract |
© 2020, Advanced Scientific Research. All rights reserved. The paper presents the results of research on the creation of CASE tools that provide the experimental version of 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 PROLOG, JavaScript, Python programming languages, PostgreSQL database management system (DBMS) as well as telemetry tools. The experiments intended through the study are simulated using above mentioned software, where they were on the basis of the created integrated development environment. 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 the result the expert system forms requirements and recommendations to the properties of the software and hardware products being developed. |
|
dc.subject |
CASE-tools |
|
dc.subject |
Database management systems |
|
dc.subject |
Expert system |
|
dc.subject |
Software |
|
dc.subject |
Telemetry |
|
dc.title |
Illustration of experimental version of the expert system |
|
dc.type |
Article |
|
dc.relation.ispartofseries-issue |
1 |
|
dc.relation.ispartofseries-volume |
12 |
|
dc.collection |
Публикации сотрудников КФУ |
|
dc.relation.startpage |
775 |
|
dc.source.id |
SCOPUS-2020-12-1-SID85078469927 |
|