Python(编程语言)
计算机科学
人气
软件工程
程序设计语言
编码(社会科学)
软件
自动化
工程类
心理学
数学
社会心理学
机械工程
统计
作者
Malinda Dilhara,Ameya Ketkar,Nikhith Sannidhi,Danny Dig
标识
DOI:10.1145/3510003.3510225
摘要
Over the years, researchers capitalized on the repetitiveness of software changes to automate many software evolution tasks. Despite the extraordinary rise in popularity of Python-based ML systems, they do not benefit from these advances. Without knowing what are the repetitive changes that ML developers make, researchers, tool, and library designers miss opportunities for automation, and ML developers fail to learn and use best coding practices.
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