UVLHub:使用 UVL 和开放科学原则的特征模型数据存储库

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Systems and Software Pub Date : 2024-07-01 DOI:10.1016/j.jss.2024.112150
David Romero-Organvidez , José A. Galindo , Chico Sundermann , Jose-Miguel Horcas , David Benavides
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引用次数: 0

摘要

功能模型是对软件产品系列中功能和关系的变异性和共性进行建模的事实标准。它们是许多工程活动(如产品配置、衍生或测试)的基础工件。不同领域都有具体的模型,但许多模型都在私人或稀少的资源库中,或者属于已中止的项目。特征模型知识的分散阻碍了在不同研究中对这些人工制品的研究和重用。通用可变性语言(UVL)是一种社区合作的文本特征模型语言,它倡导一种独立于具体工具的通用特征模型序列化方式。开放科学原则促进了科学研究的透明度、可访问性和协作性。虽然目前已有一些促进特征模型共享的尝试,但现有的解决方案在设计上缺乏开放科学原则。此外,现有和公开的特征模型所使用的格式并不总是为当前工具所支持。本文介绍了一个 UVL 格式的特征模型库,它提供了一个前端,便于搜索、上传、存储和管理特征模型数据集,提高了中止提案的能力。此外,该工具还与最著名的开放科学资料库之一 Zenodo 通信,提供数据集的永久保存,并遵循开放科学原则。它由三所活跃在变异性建模领域的大学负责维护。
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UVLHub: A feature model data repository using UVL and open science principles

Feature models are the de facto standard for modelling variabilities and commonalities in features and relationships in software product lines. They are the base artefacts in many engineering activities, such as product configuration, derivation, or testing. Concrete models in different domains exist; however, many are in private or sparse repositories or belong to discontinued projects. The dispersion of knowledge of feature models hinders the study and reuse of these artefacts in different studies. The Universal Variability Language (UVL) is a community effort textual feature model language that promotes a common way of serializing feature models independently of concrete tools. Open science principles promote transparency, accessibility, and collaboration in scientific research. Although some attempts exist to promote feature model sharing, the existing solutions lack open science principles by design. In addition, existing and public feature models are described using formats not always supported by current tools. This paper presents

, a repository of feature models in UVL format.
provides a front end that facilitates the search, upload, storage, and management of feature model datasets, improving the capabilities of discontinued proposals. Furthermore, the tool communicates with Zenodo – one of the most well-known open science repositories – providing a permanent save of datasets and following open science principles.
includes existing datasets and is readily available to include new data and functionalities in the future. It is maintained by three active universities in variability modelling.

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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.
期刊最新文献
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