How to check if your research code is sustainable?

Adhering to best practices in research software development is essential for creating modern and sustainable research software. However, keeping  up with the rapidly evolving best practices can be challenging. Tools designed to assess conformity to these practices can support the development of research code by promoting consistency, quality, and reproducibility across projects. Additionally, such tools  can help minimize errors, improve software longevity, and enhance collaboration by encouraging maintainable code. In this session, we will discuss the principles of conformity checking and introduce a research software conformity checking tool we are developing,  which tool is capable of analyzing research code written in Python and R. You will learn how to use it to assess the conformity of existing research software projects with best practices, identify potential issues, and receive actionable recommendations for  improvement.