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The Correspondence Between Software Quality Models and Technical Debt Estimation Approaches

September 2014 Presentation
Isaac Griffith (Montana State University), Zadia Codabux (Mississippi State University), Derek Reimanis (Montana State University), Ajay Deo (Mississippi State University), Byron J. Williams (Mississippi State University), Clemente Izurieta (Montana State University)

In this presentation, the authors ask whether techniques and methods for estimating technical debt represent the relationship between quality and technical debt.

Publisher:

Software Engineering Institute

Abstract

This presentation was part of the Sixth International Workshop on Managing Technical Debt, held in conjunction with the 30th International Conference on Software Maintenance and Evolution (ICSME 2014).

The number of techniques and methods for estimating technical debt has been growing. The authors discuss and compare techniques that have been implemented in tools and techniques that have not yet been implemented in tools. Typically, each method is based on some notion of quality or a quality model. Yet it is unknown whether the methods accurately represent the relationship that technical debt has with quality, or quality attributes, as claimed in the literature. Hence, the authors pose a question: How does each method represent the relationship between quality and technical debt?