Testing isn't optional. Every AI platform interprets your data differently. What works perfectly in ChatGPT might fail completely in Perplexity. Test ...

Abstract: The growing complexity of software systems and the need for more rapid, high-quality software releases have created the need for intelligent and automated testing mechanisms. Drawing on ...

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Abstract: Over the last decades, various tools (e.g., AUSTIN and EvoSuite) have been developed to automate the process of unit-level test case generation. Most of these tools are designed for ...

Abstract: Large language models (LLMs) have cultivated impressive semantics capabilities and expert knowledge from their vast pre-training corpora, especially showing prospects in automated software ...

Warning: This graphic requires JavaScript. Please enable JavaScript for the best experience. Imagine you are redesigning your living space. You could hire an interior ...

Google DeepMind unveiled plans for its first "automated research lab" in the U.K. on Thursday. The lab will use AI and robotics to run experiments and will open next year, giving British scientists ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...