Mining software repositories for software architecture — A systematic mapping study

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Information and Software Technology Pub Date : 2025-02-12 DOI:10.1016/j.infsof.2025.107677
Mohamed Soliman , Michel Albonico , Ivano Malavolta , Andreas Wortmann
{"title":"Mining software repositories for software architecture — A systematic mapping study","authors":"Mohamed Soliman ,&nbsp;Michel Albonico ,&nbsp;Ivano Malavolta ,&nbsp;Andreas Wortmann","doi":"10.1016/j.infsof.2025.107677","DOIUrl":null,"url":null,"abstract":"<div><h3>Context:</h3><div>A growing number of researchers are investigating how Mining Software Repositories (MSR) approaches can support software architecture activities, such as architecture recovery, tactics identification, architectural smell detection, and others. However, as of today, it is difficult to have a clear view of existing research on MSR for software architecture.</div></div><div><h3>Objectives:</h3><div>The objective of this study is to identify, classify, and summarize the state-of-the-art MSR approaches applied to software architecture (MSR4SA).</div></div><div><h3>Methods:</h3><div>This study is designed according to the <em>systematic mapping study</em> research method. Specifically, out of 2442 potentially relevant studies, we systematically identify 151 primary studies where MSR approaches are applied to perform software architecture activities. Then, we rigorously extract relevant data from each primary study and synthesize the obtained results to produce a clear map of reasons for adopting MSR approaches to support architecting activities, used data sources, applied MSR techniques, and captured architectural information.</div></div><div><h3>Results:</h3><div>The major reasons to adopt MSR4SA techniques are about addressing industrial concerns like <em>achieving quality attributes</em> and <em>minimizing practitioners’ efforts</em>. Most MSR4SA studies support architectural analysis, while architectural synthesis and evaluation are not commonly supported in MSR4SA studies. The most frequently mined data sources are <em>source code repositories</em> and <em>issue trackers</em>, which are also commonly mined together. Most of the MSR4SA studies apply more than one mining technique, where the most common MSR techniques are: (<em>source code analysis</em>, <em>model analysis</em>, <em>statistical analysis</em>), (<em>machine learning</em>, <em>NLP</em>). <em>Architectural quality issues</em> and <em>components</em> are the mostly mined type of information.</div></div><div><h3>Conclusion:</h3><div>Our results give a solid foundation for researchers and practitioners towards future research and applications of MSR approaches for software architecture.</div></div>","PeriodicalId":54983,"journal":{"name":"Information and Software Technology","volume":"181 ","pages":"Article 107677"},"PeriodicalIF":3.8000,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information and Software Technology","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950584925000163","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Context:

A growing number of researchers are investigating how Mining Software Repositories (MSR) approaches can support software architecture activities, such as architecture recovery, tactics identification, architectural smell detection, and others. However, as of today, it is difficult to have a clear view of existing research on MSR for software architecture.

Objectives:

The objective of this study is to identify, classify, and summarize the state-of-the-art MSR approaches applied to software architecture (MSR4SA).

Methods:

This study is designed according to the systematic mapping study research method. Specifically, out of 2442 potentially relevant studies, we systematically identify 151 primary studies where MSR approaches are applied to perform software architecture activities. Then, we rigorously extract relevant data from each primary study and synthesize the obtained results to produce a clear map of reasons for adopting MSR approaches to support architecting activities, used data sources, applied MSR techniques, and captured architectural information.

Results:

The major reasons to adopt MSR4SA techniques are about addressing industrial concerns like achieving quality attributes and minimizing practitioners’ efforts. Most MSR4SA studies support architectural analysis, while architectural synthesis and evaluation are not commonly supported in MSR4SA studies. The most frequently mined data sources are source code repositories and issue trackers, which are also commonly mined together. Most of the MSR4SA studies apply more than one mining technique, where the most common MSR techniques are: (source code analysis, model analysis, statistical analysis), (machine learning, NLP). Architectural quality issues and components are the mostly mined type of information.

Conclusion:

Our results give a solid foundation for researchers and practitioners towards future research and applications of MSR approaches for software architecture.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Information and Software Technology
Information and Software Technology 工程技术-计算机:软件工程
CiteScore
9.10
自引率
7.70%
发文量
164
审稿时长
9.6 weeks
期刊介绍: Information and Software Technology is the international archival journal focusing on research and experience that contributes to the improvement of software development practices. The journal''s scope includes methods and techniques to better engineer software and manage its development. Articles submitted for review should have a clear component of software engineering or address ways to improve the engineering and management of software development. Areas covered by the journal include: • Software management, quality and metrics, • Software processes, • Software architecture, modelling, specification, design and programming • Functional and non-functional software requirements • Software testing and verification & validation • Empirical studies of all aspects of engineering and managing software development Short Communications is a new section dedicated to short papers addressing new ideas, controversial opinions, "Negative" results and much more. Read the Guide for authors for more information. The journal encourages and welcomes submissions of systematic literature studies (reviews and maps) within the scope of the journal. Information and Software Technology is the premiere outlet for systematic literature studies in software engineering.
期刊最新文献
Editorial Board BinOpLeR: Optimization level recovery from binaries based on rich semantic instruction image and weighted voting Mining software repositories for software architecture — A systematic mapping study Production and test bug report classification based on transfer learning Classification and challenges of non-functional requirements in ML-enabled systems: A systematic literature review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1