A strategy for researching the performance of web applications clients

• Autorzy: Łopusiński, Hubert , Łopusiński, Mateusz , Jóźwiak, Ireneusz J. , Starościak, Kacper
• Języki publikacji: EN

Abstrakty

EN

Purpose: The article presents a comparative analysis of the web application clients performance. Design/methodology/approach: A strategy of comparing the performance of web application clients using the JavaScript programming language was proposed. Findings: The metrics used to measure the performance of web application clients were presented. Research limitations/implications: Techniques affecting the optimal work of web application clients, which can be used regardless of the technology applied were described. Originality/value: Comparison of the performance of frameworks using the JavaScript programming language. The necessary steps during the process of testing the performance of web applications were proposed and measures relevant to the test were listed. The article is dedicated to the wide spectrum of computer system users.

Słowa kluczowe

PL

aplikacja internetowa; wydajność; strategia badawcza

EN

web application; performance; research strategy

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2021
• Tom: z. 153
• Strony: 317--325
• Opis fizyczny: Bibliogr. 9 poz.

Twórcy

autor

Łopusiński, Hubert

• Wroclaw University of Science and Technology, Faculty of Computer Science and Management,

autor

Łopusiński, Mateusz

• Wroclaw University of Science and Technology, Faculty of Computer Science and Management,

autor

Jóźwiak, Ireneusz J.

• Wroclaw University of Science and Technology, Faculty of Computer Science and Management,

autor

Starościak, Kacper

• Wroclaw University of Science and Technology, Faculty of Electronics,

Bibliografia

• 1. Cassone, G., Elia, G., Gotta, D., Mola, F., Pinnola, A. (2001). Web Performance Testing and Measurement: a complete approach. Telecom Italia Lab. Retrieved from https://www.agileconnection.com/sites/default/files/article/file/2012/XDD3579filelistfilename1_0.pdf, 31.03.2020.
• 2. Khan, R., Mittal, K. (2018). Performance Testing and Profiling of Web based Application in Real Time. International Journal of Computer Applications, Vol. 180, No. 46, doi: 10.5120/ijca2018917220.
• 3. Krause, S. (2020). Github repository of the JavaScript frameworks performance analysis tool. Retrieved from https://github.com/krausest/js-framework-benchmark, 31.03.2020.
• 4. Mariano, C. L. (2017). Benchmarking JavaScript Frameworks. Master’s thesis, 2017. doi:10.21427/ D72890.
• 5. Meyghani, A.J. (2020). JavaScript Frameworks, Performance Comparison. Retrieved from https://medium.com/@ajmeyghani/javascript-frameworks-performance-comparison-c566d19ab65b, 31.03.2020.
• 6. Ninka, I., Proko, E. (2013). Analyzing and Testing Web Application Performance. International Journal Of Engineering And Science, Vol. 3, Iss. 10, pp. 47-50.
• 7. Sharmila, S., Ramadevi, E. (2014). Analysis of Performance Testing on Web Applications. International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Iss. 3.
• 8. Subraya, B.M. (2006). Integrate Approach to Web Performance Testing: A Practitioner’s Guide. London: IRM Press.
• 9. Wagner, J. (2020). Why performance matters. Retrieved from https://developers.google.com/web/fundamentals/performance/why-performance-matters, 30.03.2020.

Identyfikatory

DOI

10.29119/1641-3466.2021.153.22