Title :
Estimating the Principal of an Application´s Technical Debt
Author :
Curtis, Bill ; Sappidi, Jay ; Szynkarski, Alexandra
Abstract :
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.
Keywords :
commerce; data handling; financial management; MLOC; architectural practice; business applications; coding practice; structural quality data; technical debt; Investments; Risk management; Software measurements; Software quality; software metrics; software structural quality; static analysis; technical debt;
Journal_Title :
Software, IEEE
DOI :
10.1109/MS.2012.156
