APPLICATION OF DATA-DRIVEN TEST AUTOMATION WITH KATALON STUDIO FOR AN E-COMMERCE APPLICATION

Abstract

Background: Nowadays, Information technology is developing and changing dramatically, compared to web technologies. Websites are becoming more and more complex and require a lot of effort for developing and testing. As for testing, manual methods can no longer be the only option. An automation solution is definitely a much wiser and more profitable choice. It can help to test the functionalities of the website and further to confirm that everything is working as expected. To conduct test automation, Katalon Studio framework is currently the most selected test automation tool. Writing test scripts in Katalon is easy enough. We just need to find web elements and perform operations on them. However, to actually implement Katalon in a truly friendly, maintainable and efficient way is much more expensive; we need to exercise a better approach that will be discussed later in this paper. Furthermore, e-commerce applications are a perfect target due to their complex structure and a lack of reports that present issues to be concerned with when testing this type of application. Purpose: This thesis goes to learn and apply Data-driven testing and many others to the automation of test cases for ecommerce applications. We also recommend a complete test framework to create test scripts for an e-commerce application. Method: Collect, analyze and learn documents related to the contents of study topic; analyze to suggest solutions; then build and execute the tests according to findings with Katalon Studio. Findings: The above techniques and tools reduce maintenance costs and minimize code duplication, so they help the project achieve a better result. In the aftermath, the test scripts become less and optimized. In addition, logs and reports allow stakeholders to have better judgment over the project. Conclusion: The proposed Katalon Studio-based automation testing framework has been successfully applied for testing an e-commerce website.