AI Driven Test Automation for Scalable Software Verification Using CNN BiLSTM

Abstract

The software testing is the process which ensures the reliable and efficient working of the software. Conventional rules based approaches have attempted to cater the changing complex needs of Agile and DevOps environments. Artificial Intelligence applications, especially deep learning models, were quite revolutionary in defect prediction and test case prioritization. However, with these techniques, many challenges are still left, such as computational costs, adaptability, and scalability issues