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Integrated Formal Tools for Software Architecture Smell Detection

Authors
Chondamrongkul, NachaSun, JingWarren, IanLee, Scott Uk-Jin
Issue Date
Jun-2020
Publisher
World Scientific Publishing Co
Keywords
Software smells; software architecture; ontology web language; model checking; modiability; smell detection
Citation
International Journal of Software Engineering and Knowledge Engineering, v.30, no.6, pp.723 - 763
Indexed
SCIE
SCOPUS
Journal Title
International Journal of Software Engineering and Knowledge Engineering
Volume
30
Number
6
Start Page
723
End Page
763
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1085
DOI
10.1142/S0218194020400057
ISSN
0218-1940
Abstract
The architecture smells are the poor design practices applied to the software architecture design. The smells in software architecture design can be cascaded to cause the issues in the system implementation and signicantly affect the maintainability and reliability attribute of the software system. The prevention of architecture smells at the design phase can therefore improve the overall quality of the software system. This paper presents a framework that supports the detection of architecture smells based on the formalization of architecture design. Our modeling specication supports representing both structural and behavioral aspect of software architecture design; it allows the smells to be analyzed and detected with the provided tools. Our framework has been applied to seven architecture smells that violate different design principles. The evaluation has been conducted and the result shows that our detection approach gives accurate results and performs well on different size of models. With the proposed framework, other architecture smells can be defined and detected using the process and tools presented in this paper.
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ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)
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