Automated Design Conformance During Continuous Integration
• Video
The project employs code analysis, software architecture knowledge, and ML to automatically extract design as implemented in the code and check conformance.
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Software Engineering Institute
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Abstract
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.
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CMU SEI Research Review 2020 Presentation Videos