Technical Debt Analysis Through Software Analytics
Carnegie-Mellon University, Software Engineering Institute Pittsburgh United States
Pagination or Media Count:
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.
- Computer Programming and Software