Tag: AI-Driven
Evaluation of AI-Driven Software Testing Methods Applied to a Microservice
Abstract– In traditional Software Development Lifecycles, testing is often performed in its final phases, increasing defect resolution costs and project risks. Recent advances in Artificial Intelligence (AI) have the potential to accelerate development workflows and reduce manual effort. However, the actual capabilities of AI-driven testing tools remain unclear, particularly in microservice contexts. This paper evaluates…