Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification
Joint Authors
Strečanský, Peter
Chren, Stanislav
Rossi, Bruno
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-20
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
There are many definitions of software Technical Debt (TD) that were proposed over time.
While many techniques to measure TD emerged in recent times, there is still not a clear understanding about how different techniques compare when applied to software projects.
The goal of this paper is to shed some light on this aspect, by comparing three techniques about TD identification that were proposed over time: (i) the Maintainability Index (MI), (ii) SIG TD models, and (iii) SQALE analysis.
Considering 20 open source Python libraries, we compare the TD measurements time series in terms of trends and evolution according to different sets of releases (major, minor, and micro), to see if the perception of practitioners about TD evolution could be impacted.
While all methods report generally growing trends of TD over time, there are different patterns.
SQALE reports more periods of steady states compared to MI and SIG TD.
MI is the method that reports more repayments of TD compared to the other methods.
SIG TD and MI are the models that show more similarity in the way TD evolves, while SQALE and MI are less similar.
The implications are that each method gives slightly a different perception about TD evolution.
American Psychological Association (APA)
Strečanský, Peter& Chren, Stanislav& Rossi, Bruno. 2020. Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification. Scientific Programming،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1208995
Modern Language Association (MLA)
Strečanský, Peter…[et al.]. Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification. Scientific Programming No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1208995
American Medical Association (AMA)
Strečanský, Peter& Chren, Stanislav& Rossi, Bruno. Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1208995
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208995