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An Overview and Comparison of Technical Debt Measurement Tools

Authors :
Avgeriou, P
Taibi, D
Ampatzoglou, A
Arcelli Fontana, F
Besker, T
Chatzigeorgiou, A
Lenarduzzi, V
Martini, A
Moschou, N
Pigazzini, I
Saarimaki, N
Sas, D
de Toledo, S
Tsintzira, A
Avgeriou P. C.
Taibi D.
Ampatzoglou A.
Arcelli Fontana F.
Besker T.
Chatzigeorgiou A.
Lenarduzzi V.
Martini A.
Moschou N.
Pigazzini I.
Saarimaki N.
Sas D. D.
de Toledo S. S.
Tsintzira A. A.
Avgeriou, P
Taibi, D
Ampatzoglou, A
Arcelli Fontana, F
Besker, T
Chatzigeorgiou, A
Lenarduzzi, V
Martini, A
Moschou, N
Pigazzini, I
Saarimaki, N
Sas, D
de Toledo, S
Tsintzira, A
Avgeriou P. C.
Taibi D.
Ampatzoglou A.
Arcelli Fontana F.
Besker T.
Chatzigeorgiou A.
Lenarduzzi V.
Martini A.
Moschou N.
Pigazzini I.
Saarimaki N.
Sas D. D.
de Toledo S. S.
Tsintzira A. A.
Publication Year :
2021

Abstract

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1308938629
Document Type :
Electronic Resource