SPL-DB-Sync: Seamless database transformation during feature-driven changes

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Delfina Ramos-Vidal , Wesley K.G. Assunção , Alejandro Cortiñas , Miguel R. Luaces , Oscar Pedreira , Ángeles Saavedra Places
{"title":"SPL-DB-Sync: Seamless database transformation during feature-driven changes","authors":"Delfina Ramos-Vidal ,&nbsp;Wesley K.G. Assunção ,&nbsp;Alejandro Cortiñas ,&nbsp;Miguel R. Luaces ,&nbsp;Oscar Pedreira ,&nbsp;Ángeles Saavedra Places","doi":"10.1016/j.jss.2024.112285","DOIUrl":null,"url":null,"abstract":"<div><div>Software Product Line (SPL) Engineering is a reuse-oriented approach to developing a suite of software products that share common components but vary in specific features. The advantages of SPLs (e.g., reducing development costs and time while improving quality) have already been proven in practice. However, despite the success in deriving new products from an SPL, challenges arise in evolving existing products. Altering the feature selection (e.g., adding or removing a feature) for an already existing product poses a challenge regarding the application data stored and managed by derived products, particularly when the features impact an already populated database. In many cases, these modifications imply loss of data or constraint violations. However, in both the state of the art and practice, there are no approaches to support feature and data evolution simultaneously for SPL products.</div><div>This paper reports a novel evolution approach, SPL-DB-Sync, with actions required for database adjustments when adding or removing features for existing SPL products. Actions delineate modifications necessary within the database. These modifications are associated with the SPL features and linked to the components of the data model they influence. SPL-DB-Sync facilitates the automatic readjustment of the database while preserving clear traceability between features and elements of the data model. The applicability of our evolution model is detailed in four practical scenarios of in-production products of an SPL for Digital Libraries. The contributions of this work are: present a novel evolution approach for SPLs with databases; define an SPL Evolution Model considering data transformation/migration; advance the state of practice between software reuse and data management; and provide insights for practitioners that face the same challenges of evolving both business logic and its data in software products.</div></div>","PeriodicalId":51099,"journal":{"name":"Journal of Systems and Software","volume":"222 ","pages":"Article 112285"},"PeriodicalIF":3.7000,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Software","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0164121224003297","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

Software Product Line (SPL) Engineering is a reuse-oriented approach to developing a suite of software products that share common components but vary in specific features. The advantages of SPLs (e.g., reducing development costs and time while improving quality) have already been proven in practice. However, despite the success in deriving new products from an SPL, challenges arise in evolving existing products. Altering the feature selection (e.g., adding or removing a feature) for an already existing product poses a challenge regarding the application data stored and managed by derived products, particularly when the features impact an already populated database. In many cases, these modifications imply loss of data or constraint violations. However, in both the state of the art and practice, there are no approaches to support feature and data evolution simultaneously for SPL products.
This paper reports a novel evolution approach, SPL-DB-Sync, with actions required for database adjustments when adding or removing features for existing SPL products. Actions delineate modifications necessary within the database. These modifications are associated with the SPL features and linked to the components of the data model they influence. SPL-DB-Sync facilitates the automatic readjustment of the database while preserving clear traceability between features and elements of the data model. The applicability of our evolution model is detailed in four practical scenarios of in-production products of an SPL for Digital Libraries. The contributions of this work are: present a novel evolution approach for SPLs with databases; define an SPL Evolution Model considering data transformation/migration; advance the state of practice between software reuse and data management; and provide insights for practitioners that face the same challenges of evolving both business logic and its data in software products.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信