Predicting Security Flaws through Architectural Flaws

Security defects due to implementation and interface dependencies across multiple source code files are difficult and expensive to find and fix. This research is aimed at evaluating the efficacy of using architectural modular analysis tools to identify security defects and the effect of refactoring on removing security defects. The project’s goal is to use automated architecture analysis to identify, prevent, and mitigate security flaws in code.