Scientific software projects become increasingly complex, and tools have evolved to help manage the complexity, keep track of the project life cycle, as well as maintain code quality. The course will presents some of the tools that are most useful for the development of scientific applications.Content:

    Version control with git

    Build management with cmake

    Unit tests with cUnit

    Continuous integration with Travis

    Bug tracking with GitHub

    Coding style with kwstyle

    Project management with Scrum and XP

A large part of the course will be devoted to hands-on session, illustrating the tools on a typical (small-size) projectLearning outcomes
Knowledge of best practices for software development.
Awareness of some advanced tools to help manage scientific programs.Prerequisites
Knowledge of Unix, and basic knowledge of C programming.
 

https://events.prace-ri.eu/event/312/