CLC number: TP311
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-12-29
Cited: 0
Clicked: 3451
Citations: Bibtex RefMan EndNote GB/T7714
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.
@article{title="An incremental software architecture recovery technique driven by code changes",
author="Li WANG, Xianglong KONG, Jiahui WANG, Bixin LI",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="5",
pages="664-677",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100461"
}
%0 Journal Article
%T An incremental software architecture recovery technique driven by code changes
%A Li WANG
%A Xianglong KONG
%A Jiahui WANG
%A Bixin LI
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 5
%P 664-677
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100461
TY - JOUR
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
IS - 5
SP - 664
EP - 677
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100461
Abstract: 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.
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