Senior Quality Engineering Manager, CA, USA.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(02), 2880-2889
Received on 05 July 2024; revised on 20 August 2024; accepted on 23 August 2024
Modern software testing has become imperative as testing is being automated test case generation: it makes the test efficient, accurate and completely covered. Traditionally, scalability, adaptability, and completeness are the Achilles heels of scalability of traditional testing methods as manual and scripted. In this paper, we introduce a novel AI driven framework for automated test case generation based on deep learning and reinforcement learning using evolutionary algorithm to improve test case generation process. It provides an effective test coverage by dynamically generating and prioritizing test cases according to their historical data, execution patterns and real time software update. AI driven testing reduce manual effort, reduce test execution time, and detects defect earlier in the development cycle as per results. Although the challenge includes the quality of the data, the computing resource demand and application to the complex software system, the future advancement of AI and integration of AI & CI/CD pipelines will further increase the ability of automation in test case generation.
Automated Test Case Generation; Artificial Intelligence; Machine Learning; Software Testing; Deep Learning; Reinforcement Learning; Test Automation
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Gopinath Kathiresan. Automated Test Case Generation with AI: A Novel Framework for Improving Software Quality and Coverage. World Journal of Advanced Research and Reviews, 2024, 23(2), 2880-2889. Article DOI: https://doi.org/10.30574/wjarr.2024.23.2.2463