Expert System for Web Graphical User Interface Test Case Generation for Usability Test

Zulfiqar Ali Ayaz, Hafiz Shoaib Ur Rehman, Nouman Arshid, Riasat Ali,Muhammad Waseem Iqbal, Misbah Noor, Saleem Zubair Ahmad

Bulletin of Business and Economics (BBE)(2024)

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摘要
The ease of use test (UT) process is used to evaluate the usability of a website or its point of contact without involving actual site visitors. UT can be done manually or with the use of mechanized equipment. The manual course of ease of use test is time-consuming and expensive. Manual labor needs additional resources (analyzers) and exceptional possibilities to counteract those consequences. The goal of this investigation is to improve the competency and reliability of experiments' (TC) age through; the test system is communicated using programmed test instruments. Robotized testing (RT) may be effective and precise. There are several robotized devices available for programming testing, with limited access to TC computerization. The efficient writing audit (SLR) was directed in this examination to sort out the gap(s) in current AT and huddle in TC age. Furthermore, the review was aimed at identifying the primary problems examined by various neighborhood analyzers during the process of physically generating TC. Fluffy reasoning master structure was used to generate TC based on the selected reasonable experiments. The fluffy rationale can emphasize non-probabilistic concerns, vulnerability, and multi-esteemed rationale. The information investigation was carried out to get access to the login page and trials were carried out provided the GRAPHIC USER INTERFACE instances using flowery reasoning. The framework extracted the watchwords, attributes, and conditions from the information examination code and displayed the results as experiments. A close examination was conducted among behavioral test system age processes using the fluffy-based master framework for evaluation. The assessment findings obtained through quantifiable examination show that the proposed framework is more productive and trustworthy for creating experiments than the manual framework.
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