KEY INDICATORS FOR WEB APPLICATION OPTIMIZATION

Oksyuta O.; Arapov D.

doi:doi:10.58168/CISMP2024_103-106

Home / Conferences / CHALLENGING ISSUES IN SYSTEMS MODELING AND PROCESSES / Materials of the All-Russian Scientific and Practical Conference «CHALLENGING ISSUES IN SYSTEMS MODELING AND PROCESSES»

KEY INDICATORS FOR WEB APPLICATION OPTIMIZATION

Submit manuscript

To cite

KEY INDICATORS FOR WEB APPLICATION OPTIMIZATION

Section: SECTION 1. SYSTEMS ANALYSIS, MANAGEMENT, INFORMATION PROCESSING

Proceedings: MATERIALS OF THE ALL-RUSSIAN SCIENTIFIC AND PRACTICAL CONFERENCE «CHALLENGING ISSUES IN SYSTEMS MODELING AND PROCESSES»

UDK 004.9 Прикладные информационные (компьютерные) технологии

Oksyuta O. ¹

Arapov D. ²

Author and publication information

Authors:

1. Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation

2. Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation

Type:

Сonference article

DOI:

https://doi.org/10.58168/CISMP2024_103-106

Published:

14.04.2025

Subject area:

004.9

Language:

Russian

Keywords:

optimization, web application, performance, loading speed, website loading speed

Abstract and keywords

Abstract (English):
The article presents the main aspects of web application optimization. Performance monitoring tools such as Lighthouse, Google PageSpeed Insights, and browser DevTools are considered. Methods for improving loading speed, performance, and user experience are analyzed.

Keywords:
optimization, web application, performance, loading speed, website loading speed

References

1. Oksyuta O. V., Arapov D. S., Groshev A. S. Preimuschestva i nedostatki prilozheniy s mikrofrontend-arhitekturoy / otv. red. O. V. Oksyuta, A. S. Groshev // Modelirovanie informacionnyh sistem i tehnologiy : materialy Mezhdunarodnoy nauchno-prakticheskoy konferencii, – Voronezh, 2024 – S. 127-132 – DOIhttps://doi.org/10.58168/MoInSyTe2024_127-132 EDN: https://elibrary.ru/APETNZ

2. Lighthouse. – URL: https://developer.chrome.com/docs/lighthouse/overview.

3. PageSpeed Insights. – URL: https://pagespeed.web.dev/.

4. Chrome Dev Tools. – URL: https://developer.chrome.com/docs/devtools/overview.

5. Poluektov A. V., Makarenko F. V., Yagodkin A. S. Ispol'zovanie storonnih bibliotek pri napisanii programm dlya obrabotki statisticheskih dannyh // Modelirovanie sistem i processov. – 2022. – T. 15, № 2. – S. 33-41. DOI: https://doi.org/10.12737/2219-0767-2022-15-2-33-41; EDN: https://elibrary.ru/HHYURU

Submit manuscript

To cite

Citations:

Confirmation

Регистрация