Abstract: Automated test case generation reduces the manual effort of software testing, particularly for dynamic languages like Python. This study compares three transformer-based models-CodeT5, ...

Building production-ready solutions with agentic AI comes with inherent risks. When agents make mistakes or hallucinate, the potential impacts can multiply rapidly. “It turns out that it’s very easy ...

PythonFuzz is coverage-guided fuzzer for testing python packages. Fuzzing for safe languages like python is a powerful strategy for finding bugs like unhandled exceptions, logic bugs, security bugs ...

Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow remote attackers to hide malicious code in metadata. The code then executes ...

Make sure to add databricks-labs-pytester as a test-time dependency and not as a compile-time dependency, otherwise your wheels will transitively depend on pytest, which is not usually something you ...

Automating code testing has become integral to software development, ensuring that applications are reliable, bug-free, and efficient. Python, one of the most widely used programming languages, boasts ...

Sigh… your code won’t compile… again. Good news, though: we’re in the golden age of AI, and sifting through lines of code for that pesky error doesn’t have ...

Python has become one of the most used programming languages with 28 % of the market share. Large corporations like Google and Netflix use the reliability and efficiency of its framework for web ...

Department of Computing & UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London SW7 2AZ, United Kingdom Department of Materials, Department of Bioengineering & ...

AI struggles to generate accurate unit tests, with success rates as low as 29%. Despite high code generation success, AI's test accuracy for Java and Python is critically flawed. Automated test ...