当前位置: X-MOL 学术arXiv.cs.SE › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Deep Learning & Software Engineering: State of Research and Future Directions
arXiv - CS - Software Engineering Pub Date : 2020-09-17 , DOI: arxiv-2009.08525
Prem Devanbu, Matthew Dwyer, Sebastian Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, and Xiangyu Zhang

Given the current transformative potential of research that sits at the intersection of Deep Learning (DL) and Software Engineering (SE), an NSF-sponsored community workshop was conducted in co-location with the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE'19) in San Diego, California. The goal of this workshop was to outline high priority areas for cross-cutting research. While a multitude of exciting directions for future work were identified, this report provides a general summary of the research areas representing the areas of highest priority which were discussed at the workshop. The intent of this report is to serve as a potential roadmap to guide future work that sits at the intersection of SE & DL.

中文翻译:

深度学习与软件工程:研究现状与未来方向

鉴于目前深度学习 (DL) 和软件工程 (SE) 交叉领域的研究具有变革潜力,NSF 赞助的社区研讨会与第 34 届 IEEE/ACM 自动化软件工程国际会议在同一地点举行( ASE'19)在加利福尼亚州圣地亚哥。本次研讨会的目标是概述交叉研究的高度优先领域。虽然确定了未来工作的许多令人兴奋的方向,但本报告提供了代表研讨会上讨论的最高优先领域的研究领域的一般摘要。本报告的目的是作为潜在的路线图,指导位于 SE 和 DL 交叉点的未来工作。
更新日期:2020-09-21
down
wechat
bug