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An Overview and Comparison of Technical Debt Measurement Tools

Avgeriou, Paris C (author)
Rijksuniversiteit Groningen,University of Groningen
Taibi, Davide (author)
Tampereen Yliopisto,University of Tampere
Ampatzoglou, Apostolos (author)
Panepistimion Makedonias,University of Macedonia
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Fontana, Francesca Arcelli (author)
Universita' degli Studi di Milano-Bicocca,University of Milano-Bicocca
Besker, Terese, 1970 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Chatzigeorgiou, Alexandros (author)
Panepistimion Makedonias,University of Macedonia
Lenarduzzi, Valentina (author)
Tampereen Yliopisto,University of Tampere
Martini, Antonio, 1982 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Moschou, Nasia (author)
Panepistimion Makedonias,University of Macedonia
Pigazzini, Ilaria (author)
Universita' degli Studi di Milano-Bicocca,University of Milano-Bicocca
Saarimaki, Nyyti (author)
Tampereen Yliopisto,University of Tampere
Sas, Darius (author)
Rijksuniversiteit Groningen,University of Groningen
Soares de Toledo, Saulo (author)
Universitetet i Oslo,University of Oslo
Tsintzira, Angeliki Agathi (author)
Panepistimion Makedonias,University of Macedonia
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 (creator_code:org_t)
2021
2021
English.
In: IEEE Software. - 1937-4194 .- 0740-7459. ; 38:3, s. 61-71
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • There are numerous commercial tools and research prototypes that offer support for measuring technical debt. However, different tools adopt different terms, metrics, and ways to identify and measure technical debt. These tools offer diverse features, and their popularity / community support varies significantly. Therefore, (a) practitioners face difficulties when trying to select a tool matching their needs; and (b) the concept of technical debt and its role in software development is blurred. 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. Our findings can help practitioners to find the most suitable tool for their purposes, and researchers by highlighting the current tool shortcomings.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Tools
Software Quality
Source Code Analysis
Technical Debt

Publication and Content Type

art (subject category)
ref (subject category)

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