ASE2022

ASTOR: An Approach to Identify Security Code Reviews

Rajshakhar Paul

1 citation

Abstract

During code reviews, software developers often raise security concerns if they find any. Ignoring such concerns can bring a severe impact on the performance of a software product. This risk can be reduced if we can automatically identify such code reviews that trigger security concerns so that we can perform additional scrutiny from the security experts. Therefore, the objective of this study is to develop an automated tool to identify code reviews that trigger security concerns.