DocumentCode
1324832
Title
Estimating the Principal of an Application´s Technical Debt
Author
Curtis, Bill ; Sappidi, Jay ; Szynkarski, Alexandra
Volume
29
Issue
6
fYear
2012
Firstpage
34
Lastpage
42
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;
fLanguage
English
Journal_Title
Software, IEEE
Publisher
ieee
ISSN
0740-7459
Type
jour
DOI
10.1109/MS.2012.156
Filename
6336724
Link To Document