Comparison of tools and metrics for non-functional testing of web pages
Diprima, Giorgio (2022)
2022
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022113025334
https://urn.fi/URN:NBN:fi:amk-2022113025334
Tiivistelmä
This thesis aims at helping every person interested in selecting the proper non-functional testing tool, especially Wapice, the company where the author´s internship was carried out. The purpose was to compare different commercial solutions for non-functional testing. In order to understand the results offered by the pieces of software under test (Google Lighthouse, K6, and LoadRunner), the concept and metrics of non-functional testing are first defined. The three tools were tested on a web app created with the same technologies used during the internship.
The final purpose of this study was to be able to apply the conclusion of the thesis to the project developed at Wapice during the internship. The results of the tests show how Google Lighthouse can be a valuable tool when integrated into a pipeline to avoid regression; the potentialities of K6, a modern tool focused on performance, that allows executing a complete performance test for free; but also the complexity of setting up and getting started with LoadRunner.
The final purpose of this study was to be able to apply the conclusion of the thesis to the project developed at Wapice during the internship. The results of the tests show how Google Lighthouse can be a valuable tool when integrated into a pipeline to avoid regression; the potentialities of K6, a modern tool focused on performance, that allows executing a complete performance test for free; but also the complexity of setting up and getting started with LoadRunner.