Domain-Specific Software System Testing by Using Intelligent Approaches

Domain-Specific Software System Testing by Using Intelligent Approaches

연구 분야: Verification

학회: 2024 International Conference on Computational Intelligence and Network Systems (CINS)

As Software industries have grown over the last few years, software testing has been considered a crucial process in the software development lifecycle. In the past, software testing was done manually, and this is a very laborious and costly process that carries errors and requires time, money, and effort. Currently, testers want to perform the testing automatically to save time and get accurate results. In this paper, we propose the development of a domain-specific tool Architecture to automate test case generation across various industries like Automotive, Finance, and healthcare. This will retrieve user requirements and apply Intelligent Techniques to generate test cases. By enhancing the intelligent models' concrete tests with fewer ambiguities can be generated through this tool.