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Title: An Overview and Comparison of Technical Debt Measurement Tools
Authors: Avgeriou, Paris
Taibi, Davide
Ampatzoglou, Apostolos
Arcelli Fontana, Francesca
Besker, Terese
Chatzigeorgiou, Alexander
Lenarduzzi, Valentina
Martini, Antonio
Moschou, Athanasia
Pigazzini, Ilaria
Saarimaki, Nyyti
Sas, Darius Daniel
de Toledo, Saulo Soares
Tsintzira, Angeliki-Agathi
Type: Article
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: Technical Debt
Source Code Analysis
Software Quality
Issue Date: 2021
Source: IEEE Software
Volume: 38
Issue: 3
First Page: 61
Last Page: 71
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.
ISSN: 0740-7459
Other Identifiers: 10.1109/MS.2020.3024958
Appears in Collections:Department of Applied Informatics

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