Writing secure code is hard. When you learn a language, a module or a framework, you learn how it supposed to be used. When thinking about security, you need to think about how it can be misused.

In this article, I have organized the overall picture for automating Continuous Integration (CI) by preparing unit tests for code written in Python and integrating them with GitHub Actions. The key ...

Two newly uncovered malware campaigns are exploiting open-source software across Windows and Linux environments to target enterprise executives and cloud systems, signaling a sharp escalation in both ...

Fortpy is a python based parsing, unit testing and auto-complete framework for supporting Fortran 2003 including object oriented constructs. Auto-completion integration currently only available for ...

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 ...

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 ...

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 ...

Among the plentitude of modern programming languages, Python stands out for its elegance and power; a preferred tool for everything from web development to data science. Yet writing Python code is ...

Abstract: Unit testing is an essential practice in Extreme Programming (XP) and Test-driven Development (TDD) and used in many software lifecycle models. Additionally, a lot of literature deals with ...