Rapid Construction of Accurate Automatic Alert Handling System (video)
• Video
Watch Dr. Lori Flynn and Ebonie McNeil discuss a prototype tool for automated static analysis alert classification that reduces cost and data barriers.
Publisher
Software Engineering Institute
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Abstract
In this project, we are developing a reference architecture and prototype that enables rapid deployment of a method intended to automatically, accurately, and adaptively classify and prioritize alerts. Our research on reference architectures will enable DoD organizations to become more efficient by (1) reducing their adjudication workload by at least 60% and (2) focusing their manual validation efforts on truly dangerous code flaws in the remaining 40% of alerts.
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Part of a Collection
CMU SEI Research Review 2019