Toward a reliability measurement framework automated using deep learning
John Heaps, Xueling Zhang, Xiaoyin Wang, Travis D. Breaux, Jianwei Niu · 2019
We propose a framework to detect software bugs based on code pattern detection. Our framework will mine and generate bug patterns, detect those patterns in code, and calculate a vulnerability measure of software. While our framework performs well, we realize that it requires heavy manual tasks that render the framework infeasible to use in practice. However, we believe that recent advancements in machine learning will allow us to apply deep learning techniques to source code, which will help automate our framework for better practicality in the real world.