AI-Driven Software Testing: Automating Test Creation and Execution for AI/ML and Real-Time Applications

Anbarasu Arivoli

Abstract: AI-driven software testing has evolved alongside AI-based and assisted software development. It offers a wide range of benefits for conventional software, but it's critical for more complex applications. This includes AI/ML applications and real-time applications. But in these domains, AI-driven software testing comes with its own set of challenges. This includes the complexity of such applications (AI/ML and real-time), data dependencies, quality issues, the dynamic and evolving nature of these software, scalability and performance concerns, and ethical concerns. In addition to choosing the right AI-driven software testing models that can adapt to the evolving needs of this software, the right approach to AI-driven test case generation, synthetic data generation, and integrating explainability in the development and testing stage can help developers get around this issue.

Keywords: AI-driven software testing, AI/ML applications, real-time applications

How to Cite?: Anbarasu Arivoli, "AI-Driven Software Testing: Automating Test Creation and Execution for AI/ML and Real-Time Applications", Volume 12 Issue 7, July 2023, International Journal of Science and Research (IJSR), Pages: 2324-2327, https://www.ijsr.net/getabstract.php?paperid=SR23720083036, DOI: https://dx.doi.org/10.21275/SR23720083036