OpenHarmony的软件工程:研究路线图

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2025-02-26 DOI:10.1145/3720538
Li Li, Xiang Gao, Hailong Sun, Chunming Hu, Xiaoyu Sun, Haoyu Wang, Haipeng Cai, Ting Su, Xiapu Luo, Tegawendé Bissyande, Jacques Klein, John Grundy, Tao Xie, Haibo Chen, Huaimin Wang
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引用次数: 0

摘要

几十年来,移动软件工程一直是一个热门的研究课题。我们的研究人员在这一领域提出了各种方法(仅针对Android的出版物就超过7000篇),这些方法为当前移动生态系统的巨大成功做出了重要贡献。现有的研究工作主要集中在流行的移动平台,即Android和iOS。OpenHarmony是一个新兴的开源移动平台,虽然它是最需要关注的,因为OpenHarmony预计将占据中国(如果不是世界)三分之一的市场,但很少被考虑。为了填补这一空白,我们向移动软件工程社区展示了一份研究路线图,鼓励我们的研究人员为OpenHarmony贡献有前途的方法。具体来说,我们首先介绍了移动软件工程的第三级研究,试图了解移动社区针对的问题以及如何解决这些问题。然后我们总结了OpenHarmony现有的(有限的)成就,并随后强调了Android/iOS与OpenHarmony之间的研究差距。这一研究差距最终有助于形成OpenHarmony进行软件工程研究的路线图。
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Software Engineering for OpenHarmony: A Research Roadmap
Mobile software engineering has been a hot research topic for decades. Our fellow researchers have proposed various approaches (with over 7,000 publications for Android alone) in this field that essentially contributed to the great success of the current mobile ecosystem. Existing research efforts mainly focus on popular mobile platforms, namely Android and iOS. OpenHarmony, a newly open-sourced mobile platform, has rarely been considered, although it is the one requiring the most attention as OpenHarmony is expected to occupy one-third of the market in China (if not in the world). To fill the gap, we present to the mobile software engineering community a research roadmap for encouraging our fellow researchers to contribute promising approaches to OpenHarmony. Specifically, we start by presenting a tertiary study of mobile software engineering, attempting to understand what problems have been targeted by the mobile community and how they have been resolved. We then summarize the existing (limited) achievements of OpenHarmony and subsequently highlight the research gap between Android/iOS and OpenHarmony. This research gap eventually helps in forming the roadmap for conducting software engineering research for OpenHarmony.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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