Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification

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Authors	STREČANSKÝ Peter CHREN Stanislav ROSSI Bruno
Year of publication	2020
Type	Article in Proceedings
Conference	35th ACM/SIGAPP Symposium On Applied Computing
MU Faculty or unit	Faculty of Informatics
Citation
Doi	http://dx.doi.org/10.1145/3341105.3374079
Keywords	Software Technical Debt; Software Maintenance; Software Quality; Maintainability Index; SIG Method; SQALE
Description	Many techniques have emerged to evaluate software Technical Debt (TD). However, differences in reporting TD are not yet studied widely, as they can give different perceptions about the evolution of TD in projects. The goal of this paper is to compare three TD identification techniques: i. Maintainability Index (MI), ii. SIG TD models and iii. SQALE analysis. Considering 17 large open source Python libraries, we compare TD measurements time series in terms of trends in different sets of releases (major, minor, micro). While all methods report generally growing trends of TD over time, MI, SIG TD, and SQALE all report different patterns of TD evolution.
Related projects:	CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence Aplikovaný výzkum: softwarové architektury kritických infrastruktur, bezpečnost počítačových systémů, zpracování přirozeného jazyka a jazykové inženýrství, vizualizaci velkých dat a rozšířená realita.