Automation for Regulated Issue Tracking Activities

Abstract

We describe the application of automated support for issue tracking and related software engineering activities of development teams at the world's largest medical device manufacturer. We present some challenges and classes of defects found in product software, related artifacts, and the issues which track them. We describe enhanced means for defect detection, data mining and analysis, and other novel support we provide at the time of issue review. Finally, we describe evidence of the positive impact of this support, its adoption, lessons learned and potential next steps.