The purpose of usability testing (UT) is to test, how easily a website can be developed a user-friendly interface. UT is performed either manually or by using an automated tool. The manual process of usability testing is time-consuming and costly. Manual work requires more resources (testers) and there is a more chance to get inaccurate results. The objective of this research is to improve efficiency and reliability of test cases (TC) generation whereas the testing process through automation. Automated testing (AT) can be efficient and provided an accurate result. There are many automated tools available for software testing, with limited availability for TC automation. In research methodology, the Systematic Literature Review (SLR) has been conducted to find out the gap in existing AT and challenges in TC generation. Secondly, the survey has been conducted for identifying the main issues while manually generating TC from different local testers. The generation of TC has been built according to the selected suitable test cases through a fuzzy logic expert system. Fuzzy logic has the ability to emphasize on non-probabilistic uncertainty issues and multi-valued logic. The Data analysis of the login page or registration page has been performed and generated the test cases based on the GUI events through fuzzy logic. The system has been separated the keywords, attributes and conditions from data analysis code and the output is displayed in the form of test cases. The comparative analysis has been performed between manual TC generation processes with the proposed fuzzy-based expert system for evaluation. The proposed system is more efficient and reliable than the manual system by applying the statistical analysis.