Continuous integration for concurrent MOOSE framework and application development on GitHub
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
For the past several years, Idaho National Laboratory’s MOOSE framework team has employed modern software engineering techniques (continuous integration, joint application/framework source code repos- itories, automated regression testing, etc.) in developing closed-source multiphysics simulation software (Gaston et al., Journal of Open Research Software vol. 2, article e10, 2014). In March 2014, the MOOSE framework was released under an open source license on GitHub, significantly expanding and diversifying the pool of current active and potential future contributors on the project. Despite this recent growth, the same philosophy of concurrent framework and application development continues to guide the project’s development roadmap. Several specific practices, including techniques for managing multiple repositories, conducting automated regression testing, and implementing a cascading build process are discussed in this short paper. Furthermore, special attention is given to describing the manner in which these practices naturally synergize with the GitHub API and GitHub-specific features such as issue tracking, Pull Requests, and project forks.
- Research Organization:
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC07-05ID14517
- OSTI ID:
- 1245832
- Report Number(s):
- INL/JOU-15-34179
- Journal Information:
- Journal of Open Research Software, Vol. 3; ISSN 2049-9647
- Publisher:
- Software Sustainability InstituteCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Continuous Integration in Open Source Software Development
|
book | January 2008 |
| Continuous Integration for Concurrent Computational Framework and Application Development | text | January 2013 |
Similar Records
Continuous Integration, In-Code Documentation, and Automation for Nuclear Quality Assurance Conformance
Pervasive Restart In MOOSE-based Applications