Dear Naveen Jp,

AI is transforming software testing by automating repetitive tasks, improving accuracy, and accelerating release cycles. Key use cases include:

By integrating AI into testing, developers ensure higher software quality, faster delivery, and reduced costs.

Dear Naveen Jp ,

The emergence of generative AI solutions is widely known because of its usefulness in content creation. However, it has also highlighted various benefits of automation testing. This guide delves into AI in software testing to determine its true impact on the industry. Let’s start by asking,

AI software testing leverages Artificial Intelligence (AI) methods and technologies to assess a system’s functionality, performance and reliability. The convergence of software testing and artificial intelligence automates testing tasks and verifies software functionalities. Artificial intelligence in software testing uses AI-powered algorithms that bolster testing accuracy, efficiency and coverage, while enabling swifter defect identification and resolution. It retains the core techniques from traditional software testing but is significantly enhanced.

https://softwaremind.com/blog/a-guide-to-ai-in-software-testing/

Regards,

Shafagat

AI enhances software testing through automation and intelligence. It generates test cases, prioritizes execution based on risk, and adapts testing in real-time. AI predicts defects, analyzes root causes, and automates visual testing for UI inconsistencies. It optimizes test environments, simulates user interactions with chatbots, and intelligently selects regression tests. By automating repetitive tasks and providing deeper insights, AI improves test coverage, speed, and accuracy, ultimately delivering higher-quality software.