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Automated Design Conformance During Continuous Integration

The project employs code analysis, software architecture knowledge, and ML to automatically extract design as implemented in the code and check conformance.

Software Engineering Institute



SEI’s Dr. Rod Nord presents his research on developing machine learning techniques that reduce the time to detect system implementations that do not conform to intended designs (i.e., non-conformances) in systems. His work speeds up this time from months or years to hours, which will reduce the time to field capabilities and lower lifecycle costs. A panel Q&A discussion with the SEI’s Dr. Lori Flynn, moderated by Dr. Hasan Yasar of the SEI, follows this presentation at the 2020 SEI Research Review.