Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1106
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 Tools 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. |
URI: | https://doi.org/10.1109/MS.2020.3024958 https://ruomo.lib.uom.gr/handle/7000/1106 |
ISSN: | 0740-7459 1937-4194 |
Other Identifiers: | 10.1109/MS.2020.3024958 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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overview.pdf | 982,29 kB | Adobe PDF | View/Open |
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