Use of Case-Based Reasoning to Automate the Testing of Electronic Forms

Résumé fourni par la source

The digital transformation increases the usage of electronic forms (e-forms). Every e-form has its fields with specific validation requirements. Testing the field’s validity of the input is required to improve the performance. However, manual testing is time consuming and requires efforts. Hence, automating this task can reduce efforts, time, and costs. In this research study, we propose a software that tests e-forms fields’ validations using the well-known AI technique called Case-Based Reasoning (CBR). The integration of CBR contributes to easily collecting the validations requirements for each field. This software helps in raising quality and reducing testing time and efforts. It includes the registration and contact us e-forms, which are the most commonly used types of e-forms. We demonstrated the efficiency of CBR in testing the registration and contact us e-forms. Moreover, the proposed software shows promising results in terms of precision (about 96% for the registration e-form and 95% for the contact us e-form) compared to the manual testing (about 82% and 91% respectively).

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.