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An architecture refactoring approach to reducing software hierarchy complexity.

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Title: An architecture refactoring approach to reducing software hierarchy complexity.
Authors: Zhao, Yongxin1 (AUTHOR), Wu, Wenhan1 (AUTHOR), Fei, Yuan2 (AUTHOR) yuanfei@shnu.edu.cn, Liu, Zhihao1 (AUTHOR), Li, Yang3 (AUTHOR), Yang, Yilong3 (AUTHOR) yilongyang@buaa.edu.cn, Shi, Ling4 (AUTHOR), Zhang, Bo2 (AUTHOR)
Source: Journal of Software: Evolution & Process. Apr2024, Vol. 36 Issue 4, p1-27. 27p.
Subjects: Software refactoring, Computer software correctness, Computer software quality control, Software architecture, Computer programming, Battery management systems
Abstract: Summary: Software complexity is the very essence of computer programming. As the complexity increases, the potential risks and defects of software systems will increase. This makes the software correctness analysis and the software quality improvement more difficult. In this paper, we present a quantitative metric to describe the complexity of a hierarchical software and a Complexity‐oriented Software Architecture Refactoring (CoSSR) approach to reduce the complexity. The main idea is to identify and then reassemble subcomponents into one hierarchical component, which achieves minimum complexity in terms of the solution algorithm. Moreover, our algorithm can be improved by introducing partition constraint, heuristic search strategy, and spectral clustering. We implement the proposed method as an automated refactoring tool and demonstrate our algorithm through a case study of battery management system (BMS). The results show that our approach is more efficient and effective to reduce the complexity of hierarchical software system. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Software: Evolution & Process is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: An architecture refactoring approach to reducing software hierarchy complexity.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Yongxin%22">Zhao, Yongxin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Wenhan%22">Wu, Wenhan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fei%2C+Yuan%22">Fei, Yuan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yuanfei@shnu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Zhihao%22">Liu, Zhihao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Yang%22">Li, Yang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Yilong%22">Yang, Yilong</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> yilongyang@buaa.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Ling%22">Shi, Ling</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Bo%22">Zhang, Bo</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Software%3A+Evolution+%26+Process%22">Journal of Software: Evolution & Process</searchLink>. Apr2024, Vol. 36 Issue 4, p1-27. 27p.
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  Data: <searchLink fieldCode="DE" term="%22Software+refactoring%22">Software refactoring</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+correctness%22">Computer software correctness</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+quality+control%22">Computer software quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink><br /><searchLink fieldCode="DE" term="%22Battery+management+systems%22">Battery management systems</searchLink>
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  Label: Abstract
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  Data: Summary: Software complexity is the very essence of computer programming. As the complexity increases, the potential risks and defects of software systems will increase. This makes the software correctness analysis and the software quality improvement more difficult. In this paper, we present a quantitative metric to describe the complexity of a hierarchical software and a Complexity‐oriented Software Architecture Refactoring (CoSSR) approach to reduce the complexity. The main idea is to identify and then reassemble subcomponents into one hierarchical component, which achieves minimum complexity in terms of the solution algorithm. Moreover, our algorithm can be improved by introducing partition constraint, heuristic search strategy, and spectral clustering. We implement the proposed method as an automated refactoring tool and demonstrate our algorithm through a case study of battery management system (BMS). The results show that our approach is more efficient and effective to reduce the complexity of hierarchical software system. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Software: Evolution & Process is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/smr.2573
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        Text: English
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      – SubjectFull: Computer software correctness
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      – SubjectFull: Computer software quality control
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      – SubjectFull: Software architecture
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      – SubjectFull: Computer programming
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      – SubjectFull: Battery management systems
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      – TitleFull: An architecture refactoring approach to reducing software hierarchy complexity.
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            NameFull: Zhao, Yongxin
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              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
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