Technical Debt Analysis through Software Analytics
• Presentation
Presentation on research to develop tools that pinpoint problematic design decisions and quantify their consequences for uncovering technical debt
Publisher
Software Engineering Institute
Topic or Tag
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Abstract
In this work, we are developing tools that integrate data from multiple, commonly available sources to pinpoint problematic design decisions and quantify their consequences in a repeatable and reliable way for uncovering technical debt. Improving identification of such issues and quantifying effect on accumulating rework provides data to help DoD control lifecycle costs, mitigate technical risk, and reduce cycle times.
Part of a Collection
CMU SEI 2017 Research Review