Estimating the Principal of an Application's Technical Debt

This article characterizes technical debt across 700 business applications, comprising 357 MLOC. These applications were analyzed against more than 1,200 rules of good architectural and coding practice. The authors present a formula with adjustable parameters for estimating the principal of technical debt from structural quality data.

[1]  Ward Cunningham,et al.  The WyCash portfolio management system , 1992, OOPSLA '92.

[2]  Thomas Bäck,et al.  What is the value of your software? , 2012, 2012 Third International Workshop on Managing Technical Debt (MTD).

[3]  Chris Sterling,et al.  Managing Software Debt: Building for Inevitable Change , 2010 .

[4]  Diomidis Spinellis,et al.  Code Quality: The Open Source Perspective , 2006 .

[5]  Bill Curtis,et al.  Estimating the size, cost, and types of Technical Debt , 2012, 2012 Third International Workshop on Managing Technical Debt (MTD).