Full Text:   <1086>

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CLC number: TP311

On-line Access: 2022-05-19

Received: 2021-09-29

Revision Accepted: 2022-05-19

Crosschecked: 2021-12-29

Cited: 0

Clicked: 1377

Citations:  Bibtex RefMan EndNote GB/T7714




Bixin LI


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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.5 P.664-677


An incremental software architecture recovery technique driven by code changes

Author(s):  Li WANG, Xianglong KONG, Jiahui WANG, Bixin LI

Affiliation(s):  School of Computer Science and Engineering, Southeast University, Nanjing 210096, China; more

Corresponding email(s):   wangli1218@seu.edu.cn, xlkong@seu.edu.cn, 18262609320@163.com, bx.li@seu.edu.cn

Key Words:  Architecture recovery, Software evolution, Code change

Li WANG, Xianglong KONG, Jiahui WANG, Bixin LI. An incremental software architecture recovery technique driven by code changes[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(5): 664-677.

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author="Li WANG, Xianglong KONG, Jiahui WANG, Bixin LI",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

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%T An incremental software architecture recovery technique driven by code changes
%A Xianglong KONG
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100461

T1 - An incremental software architecture recovery technique driven by code changes
A1 - Li WANG
A1 - Xianglong KONG
A1 - Jiahui WANG
A1 - Bixin LI
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2100461

It is difficult to keep software architecture up to date with code changes during software evolution. Inconsistency is caused by the limitations of standard development specifications and human power resources, which may impact software maintenance. To solve this problem, we propose an incremental software architecture recovery (ISAR) technique. Our technique obtains dependency information from changed code blocks and identifies different strength-level dependencies. Then, we use double classifiers to recover the architecture based on the method of mapping code-level changes to architecture-level updates. ISAR is evaluated on 10 open-source projects, and the results show that it performs more effectively and efficiently than the compared techniques. We also find that the impact of low-quality architectural documentation on effectiveness remains stable during software evolution.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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