Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115155" target="_blank" >RIV/00216224:14330/20:00115155 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3341105.3374079" target="_blank" >http://dx.doi.org/10.1145/3341105.3374079</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3341105.3374079" target="_blank" >10.1145/3341105.3374079</a>
Alternative languages
Result language
angličtina
Original language name
Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
35th ACM/SIGAPP Symposium On Applied Computing
ISBN
9781450368667
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
121-124
Publisher name
ACM
Place of publication
Brno, Czech Republic
Event location
Brno, Czech Republic
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000569720900017