Author Abstract
Employing software metrics, such as size and complexity, for predicting defects has been given a lot of attention over the years and has proven very useful. However, the few studies looking at software architecture and vulnerabilities are limited in scope and findings. We explore the relationship between software vulnerabilities and component metrics (like code churn and cyclomatic complexity) as well as architecture coupling metrics (direct, indirect, and cyclic coupling). Our case is based on the Google Chromium project, an open-source project that has not yet been studied for this topic. Our findings show a strong relationship between vulnerabilities and both component level metrics and architecture coupling metrics. Unfortunately, the effects of different types of coupling are somewhat hard to distinguish.
Paper Information
- Full Working Paper Text
- Working Paper Publication Date: February 2017
- HBS Working Paper Number: HBS Working Paper #17-078
- Faculty Unit(s): Finance; Technology and Operations Management
