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Mapping Research Topics in Software Testing: A Bibliometric Analysis
arXiv - CS - Digital Libraries Pub Date : 2021-09-09 , DOI: arxiv-2109.04086 Alireza Salahirad, Gregory Gay, Ehsan Mohammadi
arXiv - CS - Digital Libraries Pub Date : 2021-09-09 , DOI: arxiv-2109.04086 Alireza Salahirad, Gregory Gay, Ehsan Mohammadi
In this study, we apply co-word analysis - a text mining technique based on
the co-occurrence of terms - to map the topology of software testing research
topics, with the goal of providing current and prospective researchers with a
map, and observations about the evolution, of the software testing field. Our
analysis enables the mapping of software testing research into clusters of
connected topics, from which emerge a total of 16 high-level research themes
and a further 18 subthemes. This map also suggests topics that are growing in
importance, including topics related to web and mobile applications and
artificial intelligence. Exploration of author and country-based collaboration
patterns offers similar insight into the implicit and explicit factors that
influence collaboration and suggests emerging sources of collaboration for
future work. We make our observations - and the underlying mapping of research
topics and research collaborations - available so that researchers can gain a
deeper understanding of the topology of the software testing field, inspiration
regarding new areas and connections to explore, and collaborators who will
broaden their perspectives.
中文翻译:
映射软件测试中的研究主题:文献计量分析
在这项研究中,我们应用共词分析——一种基于术语共现的文本挖掘技术——来绘制软件测试研究主题的拓扑图,目的是为当前和未来的研究人员提供一个地图,以及关于软件测试领域的演变。我们的分析能够将软件测试研究映射到相关主题的集群中,从中出现总共 16 个高级研究主题和另外 18 个子主题。该地图还建议了越来越重要的主题,包括与 Web 和移动应用程序以及人工智能相关的主题。对作者和基于国家的合作模式的探索为影响合作的隐性和显性因素提供了类似的见解,并为未来工作提出了新的合作来源。
更新日期:2021-09-10
中文翻译:
映射软件测试中的研究主题:文献计量分析
在这项研究中,我们应用共词分析——一种基于术语共现的文本挖掘技术——来绘制软件测试研究主题的拓扑图,目的是为当前和未来的研究人员提供一个地图,以及关于软件测试领域的演变。我们的分析能够将软件测试研究映射到相关主题的集群中,从中出现总共 16 个高级研究主题和另外 18 个子主题。该地图还建议了越来越重要的主题,包括与 Web 和移动应用程序以及人工智能相关的主题。对作者和基于国家的合作模式的探索为影响合作的隐性和显性因素提供了类似的见解,并为未来工作提出了新的合作来源。