Accessibility in conceptual modeling—A systematic literature review, a keyboard-only UML modeling tool, and a research roadmap

IF 2.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Aylin Sarioğlu, Haydar Metin, Dominik Bork
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引用次数: 0

Abstract

The reports on Disability by the World Health Organization show that the number of people with disabilities is increasing. Consequently, accessibility should play an essential role in information systems engineering research. While there is an increasingly rich set of available web accessibility guidelines, testing frameworks, and generally accessibility features in modern web-based software systems, software development frameworks, and Integrated Development Environments, this paper shows, based on a systematic review of the literature and current modeling tools, that accessibility is, so far, only scarcely focused in conceptual modeling research. With this paper, we assess the state of the art of accessibility in conceptual modeling, we identify current research gaps, and we delineate a vision toward more accessible conceptual modeling methods and tools. As a concrete step forward toward this vision, we present a generic concept of a keyboard-only modeling tool interaction that is implemented as a new module for the Graphical Language Server Platform (GLSP) framework. We show—using a currently developed UML modeling tool—how efficiently this module allows GLSP-based tool developers to introduce accessibility features into their modeling tools, thereby engaging physically disabled users in conceptual modeling.
概念建模中的可访问性——一个系统的文献综述,一个只需要键盘的UML建模工具,以及一个研究路线图
世界卫生组织关于残疾的报告显示,残疾人的数量正在增加。因此,可访问性应在信息系统工程研究中发挥重要作用。虽然在现代基于web的软件系统、软件开发框架和集成开发环境中有越来越丰富的可用的web可访问性指南、测试框架和一般的可访问性特征,但本文表明,基于对文献和当前建模工具的系统回顾,可访问性到目前为止几乎没有集中在概念建模研究中。在本文中,我们评估了概念建模中可访问性的艺术状态,我们确定了当前的研究差距,我们描绘了一个更可访问的概念建模方法和工具的愿景。作为实现这一愿景的具体步骤,我们提出了一个仅键盘建模工具交互的通用概念,该概念作为图形语言服务器平台(GLSP)框架的新模块实现。我们使用当前开发的UML建模工具展示了该模块如何有效地允许基于glsp的工具开发人员将可访问性特性引入他们的建模工具,从而使身体残疾的用户参与概念建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data & Knowledge Engineering
Data & Knowledge Engineering 工程技术-计算机:人工智能
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 months
期刊介绍: Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.
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