By incorporating both unit testing and static analysis, developers can control code quality through the development stages, quickly detect and fix bugs, and improve overall software reliability.

This research project will use machine learning and semantic analysis of data generated during CI/CD to reduce the number of alerts requiring human adjudication by 50%.