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A Survey on Machine Learning Techniques for Source Code Analysis. (arXiv:2110.09610v2 [cs.SE] UPDATED)
cs.LG updates on arXiv.org arxiv.org
The advancements in machine learning techniques have encouraged researchers
to apply these techniques to a myriad of software engineering tasks that use
source code analysis, such as testing and vulnerability detection. Such a large
number of studies hinders the community from understanding the current research
landscape. This paper aims to summarize the current knowledge in applied
machine learning for source code analysis. We review studies belonging to
twelve categories of software engineering tasks and corresponding machine
learning techniques, tools, and …
analysis arxiv code code analysis machine machine learning machine learning techniques survey