Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Digital Library

Poster

Technical Debt Analysis through Software Analytics

  • October 2017
  • By 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
  • Technical Debt
  • 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.

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