Issue |
E3S Web Conf.
Volume 535, 2024
XIII International Scientific and Practical Forum “Environmental Aspects of Sustainability of Construction and Management of Urban Real Estate” (ESCM-2024)
|
|
---|---|---|
Article Number | 05002 | |
Number of page(s) | 8 | |
Section | Innovative, Technical and Information Systems of “Smart City” | |
DOI | https://doi.org/10.1051/e3sconf/202453505002 | |
Published online | 11 June 2024 |
Formation of an information retrieval system of visual programming scenarios for information modeling software complexes
Moscow State University of Civil Engineering, 26, Yaroslavskoye shosse, Moscow, 129337, Russia
* Corresponding author: angelinaribakova@yandex.ru
This article discusses the process of creating an application based on a specialized database for working with a variety of scripts – visual programming scenarios. The SQL query Language (Structured Query Language) was used as a key tool for implementing the application, data for systematization was presented from the file system for storing scripts of the organization in question. In view of the popularization of the use of visual programming tools in information modeling software complexes, there is a problem of systematization of a regularly increasing number of scripts both in a specific organization and in the market as a whole. The purpose of this work is to develop an information retrieval system for working with visual programming scripts, the tasks are to analyze the file structure of script storage, form database requirements, develop algorithms for database formation and dynamic SQL query formation to filter the necessary scripts. Automation of the implementation of all the above tasks is performed on the basis of the high-level programming language C++ with the integration of SQL queries in the cross-platform development environment Qt Creator. As a result, an information search engine is presented in the form of an application "Script Manager".
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.