Vasilije Vasilijević – Academy of Technical and Art Applied Studies Belgrade – Department School of Applied Studies for Information and Communication Technologies, Zdravka Celara 16, Serbia
Nenad Kojić – Academy of Technical and Art Applied Studies Belgrade – Department School of Applied Studies for Information and Communication Technologies, Zdravka Celara 16, Serbia
Natalija Vugdelija – Academy of Technical and Art Applied Studies Belgrade – Department School of Applied Studies for Information and Communication Technologies, Zdravka Celara 16, Serbia
DOI: https://doi.org/10.31410/ITEMA.2020.9
4th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2020, Online/virtual, October 8, 2020, CONFERENCE PROCEEDINGS published by the Association of Economists and Managers of the Balkans, Belgrade; Printed by: SKRIPTA International, Belgrade, ISBN 978-86-80194-36-3, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2020
Abstract
The primary goal of every developer is to develop the highest quality web application. The quality of the application is not only a subjective assessment of the developer, but objective and representative criteria for measuring performance must be defined. Google provides a model called Web Vitals with a subset of core Web Vitals that are important for quantifying user experience on the web. Some of the metrics are LCP (Largest Contentful Paint, refers to loading), FID (First Input Delay, refers to interactivity) and CLS (Cumulative Layout Shift, refers to visual stability). This paper will present modern technologies and tools for measuring the performance of websites and analyze them on a real example of a web application. The analysis will include the use and measurement of the most important parameters: Lighthouse, PageSpeed Insights, Chrome DevTools, Search Console, web.dev’s measure tool, the Web Vitals Chrome extension and Chrome UX Report API..
Keywords
Web sites, Measuring, Performance, Web vitals.
​References
Castaneda J. A. & Muñoz-Leiva F.& Luque T. (2007). Web Acceptance Model (WAM): Moderating effects of user experience, Journal of Information & Management Vol. 44, Is. 4, (pp. 384-396), Elsevier.
Drutsa, A., Gusev, G., Kharitonov, E., Kulemyakin, D., Serdyukov, P., & Yashkov, I. (2019, July). Effective Online Evaluation for Web Search. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1399-1400).
Karthikeyan, R., Michael, G., & Kumaravel, A. (2017). A HOUSING SELECTION METHOD FOR DESIGN, IMPLEMENTATION & EVALUATION FOR WEB BASED RECOMMENDED SYSTEMS. International Journal of Pure and Applied Mathematics, 116(8), 23-28.
Patil, S. A. (2020). Comparative SEO Techniques Analysis on core WebPages and its Effectiveness in Context of Google Search Engine, International Journal of Scientific Development and Research, Vol 5, Is.3 (pp. 420-428)
Rosenfeld, L. & Morville, P. & Arango, J. (2015). Information Architecture: For the Web and Beyond, O’Reilly Media.
Star, D. (2019). Digital Marketing 2020: Grow Your Business with Digital Marketing, Kindle Edition
Velinov, V. (2020). MODERN NETWORK ARCHITECTURES NETWORK AND SYSTEM PROTECTION, Kindle Edition
www.web.dev
