Integration of automated visual testing with Applitools in the functional testing process

Abstract

Within the framework of functional testing of an information system, visual tests were carried out using Applitools, an automated visual testing tool that facilitates the verification of graphical user interfaces across multiple browsers, devices, and resolutions. This tool uses artificial intelligence to detect visual differences.  The applied methodology confirmed its effectiveness in supporting the testing process, particularly for visual verification and regression testing of graphical interfaces. The tool enables the comparison of software versions or websites with static information; however, its use in applications with dynamic content requires additional customization to avoid false positives. Applitools generates specific baselines for each environment, although a unified baseline can be configured to facilitate the detection of visual inconsistencies resulting from differences in browser rendering. Its implementation involves a learning curve and requires adequate technological resources, as well as consideration of the limitations of the free version. The interpretation of the results depends on the tester's judgment, who determines whether the differences correspond to errors or expected changes. Once the learning curve is overcome, its use significantly reduces execution times compared to manual testing. Furthermore, it is necessary to consider information security, the reusability of the automation, and the advisability of acquiring an institutional license for its use.