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An Overview and Comparison of Technical Debt Measurement Tools

  • Paris Avgeriou
  • , Davide Taibi
  • , Apostolos Ampatzoglou
  • , Francesca Arcelli Fontana
  • , Terese Besker
  • , Alexander Chatzigeorgiou
  • , Valentina Lenarduzzi
  • , Antonio Martini
  • , Nasia Moschou
  • , Ilaria Pigazzini
  • , Nyyti Saarimäki
  • , Darius Sas
  • , Saulo Soares de Toledo
  • , Angeliki-Agathi Tsintzira

Research output: Contribution to journalArticleScientificpeer-review

85 Citations (Scopus)
92 Downloads (Pure)

Abstract

Different tools adopt different terms, metrics, and ways to identify and measure technical debt. We attempt to clarify the situation by comparing the features and popularity of technical debt measurement tools and analyzing the existing empirical evidence on their validity.
Original languageEnglish
Pages (from-to)61-71
JournalIEEE Software
Volume38
Issue number3
Early online date2020
DOIs
Publication statusPublished - 2021
Publication typeA1 Journal article-refereed

Keywords

  • Technical Debt
  • Tools
  • Source Code Analysis
  • Software Quality

Publication forum classification

  • Publication forum level 2

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