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Implications of Resurgence in Artificial Intelligence for Research Collaborations in Software Engineering

机译:人工智能的复兴对软件工程研究合作的启示

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Challenges of implementing successful research collaborations between industry and academia in software engineering are varied and many. Differing timelines, metrics, expectations, and perceptions of these two communities are some common obstacles, which need be analyzed and discussed, to discover synergies and strengthen collaborations between researchers and practitioners. In this report, we present insights from the 6th International Workshop on Software Engineering Research and Industrial Practice held at the International Conference on Software Engineering 2019. Specifically, one particular topic dominated the discussion - the resurgence of artificial intelligence and machine learning algorithms in software engineering research and industry practice, and its implications for the collaboration between these two communities. We present takeaways from keynote talks on this subject, insights from paper presentations, and findings from the discussion session.
机译:在软件工程中实现行业与学术界之间成功的研究合作的挑战是多种多样的。这两个社区的时间表,度量标准,期望和看法不同是共同的障碍,需要进行分析和讨论,以发现协同作用并加强研究人员和从业人员之间的合作。在本报告中,我们提供了在2019年国际软件工程大会上举行的第六届软件工程研究和工业实践国际研讨会的见解。具体来说,一个特定的主题主导了讨论-人工智能和机器学习算法在软件工程中的复兴研究和行业实践,及其对这两个社区之间合作的影响。我们提供有关该主题的主题演讲的总结,论文演讲的见解以及讨论会的发现。

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