Dear researchers: Turning industry into a laboratory — The UnICo experience

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Andrea Capiluppi
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Abstract

1 Academic researchers are also educators, and rightly so. Who better to teach than those at the forefront of their fields? Yet, dear researchers, there is a significant issue with this model: a disconnect from industrial realities. Industry often looks on with disbelief as you implement cutting-edge research using tools like the Eclipse IDE, an environment they abandoned years ago. To address this gap, we propose fostering academia-industry collaboration for capstone projects. By adopting an “Industry-as-a-Lab” approach, where real-world challenges guide research and education, you can equip students with industry-relevant skills and perhaps even gain new insights yourself. Using ASML as a case study, I illustrate how this model fosters meaningful learning, impactful research, and innovative solutions, effectively bridging the divide between academia and industry.
亲爱的研究人员:把工业变成实验室——UnICo的经验
学术研究人员也是教育者,这是理所当然的。谁能比那些在各自领域处于前沿的人更适合教书呢?然而,亲爱的研究者们,这个模型有一个重要的问题:与工业现实脱节。当您使用Eclipse IDE之类的工具(他们多年前就放弃了这个环境)实现尖端研究时,业界通常会以怀疑的眼光看待您。为了解决这一差距,我们建议为顶点项目促进学术界和工业界的合作。通过采用“行业即实验室”的方法,让现实世界的挑战指导研究和教育,您可以为学生提供与行业相关的技能,甚至可能自己获得新的见解。以ASML为例,我说明了这种模式如何促进有意义的学习、有影响力的研究和创新的解决方案,有效地弥合了学术界和工业界之间的鸿沟。
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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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