Estimating the Principal of an Application's Technical Debt

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.

DOI: 10.1109/MS.2012.156
Showing 1-10 of 10 references

What Is the Value of Your Software

  • J De Groot
  • 2012

Systems and Software Engineering—Systems and Software Quality Requirements and Evaluation (Square)—System and Software Quality Models, Int'l Org. for Standardization

  • Iso / Iec Std
  • 2011

CAST Report on Application Software Health, tech. report, CAST Software, 2011. 7. CAST Application Intelligence Platform, tech. report, CAST Software

  • J Sappidi, B Curtis, A Szynkarski
  • 2008

Release It!, Pragmatic Bookshelf

  • M T Nygard
  • 2007

Technical Debt blog, 1 Nov

  • S Mcconnell
  • 2007

Code Quality: The Open Source Perspective

  • D Spinellis
  • 2006

Software Engineering— Product Quality, Int'l Org. for Standardization

  • Iso, Iec
  • 2001
Showing 1-10 of 23 extracted citations