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Technical Debt Analysis through Software Analytics

October 2017 Poster
Ipek Ozkaya

Poster on research to develop tools that integrate data from multiple, commonly available sources to pinpoint problematic design decisions and quantify their consequences in a repeatable and reliable way

Publisher:

Software Engineering Institute

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.