Automation for Regulated Issue Tracking Activities
2012-03-26
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Automation for Regulated Issue Tracking Activities
Authors
Published Date
2012-03-26
Publisher
Type
Report
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.
Keywords
Description
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Suggested citation
Drew, Touby; Gini, Maria. (2012). Automation for Regulated Issue Tracking Activities. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215888.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.