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@inproceedings{1594140, author = {Strečanský, Peter and Chren, Stanislav and Rossi, Bruno}, address = {Brno, Czech Republic}, booktitle = {35th ACM/SIGAPP Symposium On Applied Computing}, doi = {http://dx.doi.org/10.1145/3341105.3374079}, keywords = {Software Technical Debt; Software Maintenance; Software Quality; Maintainability Index; SIG Method; SQALE}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Brno, Czech Republic}, isbn = {978-1-4503-6866-7}, pages = {121-124}, publisher = {ACM}, title = {Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification}, year = {2020} }
TY - JOUR ID - 1594140 AU - Strečanský, Peter - Chren, Stanislav - Rossi, Bruno PY - 2020 TI - Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification PB - ACM CY - Brno, Czech Republic SN - 9781450368667 KW - Software Technical Debt KW - Software Maintenance KW - Software Quality KW - Maintainability Index KW - SIG Method KW - SQALE N2 - 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. ER -
STREČANSKÝ, Peter, Stanislav CHREN a Bruno ROSSI. Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification. In \textit{35th ACM/SIGAPP Symposium On Applied Computing}. Brno, Czech Republic: ACM, 2020, s.~121-124. ISBN~978-1-4503-6866-7. Dostupné z: https://dx.doi.org/10.1145/3341105.3374079.
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