Technical Debt Analysis Through Software Analytics

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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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2017
Accession Number
AD1088362

Entities

People

  • Ipek Ozkaya

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Commerce
  • Copyrights
  • Department Of Defense
  • Engineering
  • Governments
  • Guarantees
  • Machine Learning
  • Materials
  • Patents
  • Procurement
  • Software Development
  • Technical Debt
  • Trademarks
  • Universities

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Economics
  • Life Cycle Cost Analysis