关于适用性的思考

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Systems and Software Pub Date : 2024-05-08 DOI:10.1016/j.jss.2024.112086
Titus Winters
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引用次数: 0

摘要

在软件工程领域,产业界和学术界的兴趣差距似乎在继续扩大。随着软件在社会中扮演越来越重要的角色,学术界软件工程师的兴趣和研究重点似乎很少与产业界的兴趣重叠,这多少令人担忧。在这篇社论中,我对这一领域大部分研究的适用性提出了四大担忧。我还提出了一个重要的元问题:什么是软件工程研究?它是对软件工程师的研究,还是对软件工程最佳实践的研究?学术性的 SE 研究更像是人类学,还是研究软件成功的原因?
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Thoughts on applicability

The gulf between industry and academic interests in Software Engineering appears to continue to widen. With software taking on an ever-growing role in society, it is somewhat concerning that the interests and research focuses of academic software engineers seem to rarely overlap with industry interests. In this editorial, I hypothesize four major concerns I have with the applicability of much of the research in this area. I also surface the important meta question: What is Software Engineering Research? Is this the study of software engineers, or the study of best practices in software engineering? Does academic SE research owe more to anthropology, or the study of what makes software successful?

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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.
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