Integrated Formal Tools for Software Architecture Smell Detection

Author:

Chondamrongkul Nacha1,Sun Jing1,Warren Ian1,Lee Scott Uk-Jin2

Affiliation:

1. Department of Computer Science, University of Auckland, Auckland, New Zealand

2. Division of Computer Science, Hanyang University, Ansan, South Korea

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 significantly 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 specification 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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Architectural Refactoring for Functional Properties in Evolutionary Architecture;2022 IEEE 19th International Conference on Software Architecture (ICSA);2022-03

2. A Formal Verification Method of Compilation Based on C Safety Subset;Wireless Communications and Mobile Computing;2021-07-29

3. Software Architectural Migration;ACM Transactions on Software Engineering and Methodology;2021-07

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