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- W2754629507 abstract "Research at the intersection of machine learning, programming languages, and software engineering has recently taken important steps in proposing learnable probabilistic models of source code that exploit code's abundance of patterns. In this article, we survey this work. We contrast programming languages against natural languages and discuss how these similarities and differences drive the design of probabilistic models. We present a taxonomy based on the underlying design principles of each model and use it to navigate the literature. Then, we review how researchers have adapted these models to application areas and discuss cross-cutting and application-specific challenges and opportunities." @default.
- W2754629507 created "2017-09-25" @default.
- W2754629507 creator A5028501178 @default.
- W2754629507 creator A5036744986 @default.
- W2754629507 creator A5076587279 @default.
- W2754629507 creator A5080221214 @default.
- W2754629507 date "2017-09-18" @default.
- W2754629507 modified "2023-09-27" @default.
- W2754629507 title "A Survey of Machine Learning for Big Code and Naturalness" @default.
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