Separation of concerns in feature diagram languages

Author:

Hubaux Arnaud1,Tun Thein Than2,Heymans Patrick1

Affiliation:

1. University of Namur, Belgium

2. The Open University and University of Namur, UK

Abstract

The need for flexible customization of large feature-rich software systems, according to requirements of various stakeholders, has become an important problem in software development. Among the many software engineering approaches dealing with variability management, the notion of Software Product Line (SPL) has emerged as a major unifying concept. Drawing from established disciplines of manufacturing, SPL approaches aim to design repertoires of software artifacts, from which customized software systems for specific stakeholder requirements can be developed. A major difficulty SPL approaches attempt to address is the modularization of software artifacts, which reconciles the user's needs for certain features and the development and technical constraints. Towards this end, many SPL approaches use feature diagrams to describe possible configurations of a feature set. There have been several proposals for feature diagram languages with varying degrees of expressiveness, intuitiveness, and precision. However, these feature diagram languages have limited scalability when applied to realistic software systems. This article provides a systematic survey of various concerns of feature diagrams and ways in which concerns have been separated. The survey shows how the uncertainty in the purpose of feature diagram languages creates both conceptual and practical limitations to scalability of those languages.

Funder

Microsoft Research

Interuniversity Attraction Poles Programme of the Belgian State, Belgian Science Policy, under the MoVES project

European Research Council

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference95 articles.

1. Composing Feature Models

2. Maturity assessment framework for business dimension of software product family;Ahmed F.;Int. J. Interoper. Bus. Inf. Syst.,2006

3. Alferez M. Santos J. Moreira A. Garcia A. Kulesza U. Araujo J. and Amaral V . 2009 . Multi-view composition language for software product line requirements. In Proceedings of the 2nd International Conference on Software Language Engineering (SLE'09) M. van den Brand D. Gasevic and J. Gray Eds. Lecture Notes in Computer Science vol. 5969 Springer 103--122. 10.1007/978-3-642-12107-4_8 Alferez M. Santos J. Moreira A. Garcia A. Kulesza U. Araujo J. and Amaral V. 2009. Multi-view composition language for software product line requirements. In Proceedings of the 2 nd International Conference on Software Language Engineering (SLE'09) M. van den Brand D. Gasevic and J. Gray Eds. Lecture Notes in Computer Science vol. 5969 Springer 103--122. 10.1007/978-3-642-12107-4_8

4. Extracting and Evolving Code in Product Lines with Aspect-Oriented Programming

5. Aspectual mixin layers

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A tool for modeling and analysis of relationships among feature model views;Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume B;2022-09-12

2. Modeling Relationships Between Feature Model Views;2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C);2021-10

3. Alignment and granularity of requirements and architecture in agile development: A functional perspective;Information and Software Technology;2021-05

4. Explicit Alignment of Requirements and Architecture in Agile Development;Requirements Engineering: Foundation for Software Quality;2020

5. On language levels for feature modeling notations;Proceedings of the 23rd International Systems and Software Product Line Conference volume B - SPLC '19;2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3