An incremental software architecture recovery technique driven by code changes

Li WANG; Xianglong KONG; Jiahui WANG; Bixin LI

doi:10.1631/FITEE.2100461

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An incremental software architecture recovery technique driven by code changes

Special Feature on Intelligent Analysis for Software Data | Updated：2022-05-23

- An incremental software architecture recovery technique driven by code changes
- 代码变更驱动的增量式软件架构恢复技术
- Frontiers of Information Technology & Electronic Engineering Vol. 23, Issue 5, Pages: 664-677(2022)
- Affiliations：
  
  1.School of Computer Science and Engineering, Southeast University, Nanjing210096, China
  2.Jiangsu Automation Research Institute, Lianyungang222061, China
  3.Huawei Digital Technology Lab, Suzhou215125, China
- Author bio：
  
  E-mail: wangli1218@seu.edu.cn;
  E-mail: xlkong@seu.edu.cn;
  E-mail: 18262609320@163.com;
  ‡Corresponding author
- Funds：
- DOI：10.1631/FITEE.2100461
  CLC： TP311
- Received：29 September 2021，
  
  Accepted：29 December 2021，
  
  Published Online：06 April 2022，
  
  Published：0 May 2022
- Accepted：
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Li WANG, Xianglong KONG, Jiahui WANG, et al. An incremental software architecture recovery technique driven by code changes[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(5): 664-677.
DOI：

Li WANG, Xianglong KONG, Jiahui WANG, et al. An incremental software architecture recovery technique driven by code changes[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(5): 664-677. DOI： 10.1631/FITEE.2100461.

摘要

在软件演化过程中，受开发能力和投入资源限制，软件架构通常难以与代码保持同步更新，导致架构设计与代码产生不一致，对软件维护等工作造成潜在影响。为解决此问题，本文提出一种增量式软件架构恢复技术，即ISAR。该技术首先从变更代码片段中提取依赖信息，然后根据依赖强度分析模块间关联关系，最后基于代码变更与架构更新间的关联关系设计两层分类器以恢复架构。本文基于10个开源项目构建验证实验，结果表明ISAR在架构恢复精度和效率方面优于传统技术。此外，本文发现架构设计文档质量对ISAR架构恢复精度有一定影响，但随着版本迭代逐渐趋于稳定。

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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