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AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations

Published in arXiv (Cornell University) • May 23, 2022
NobleIDNI8P44W62R37S77
Authors:
Xiaoyu Liu
,
Jinu Jang
,
Neel Sundaresan

Abstract

In software development, it is common for programmers to copy-paste or port code snippets and then adapt them to their use case. This scenario motivates the code adaptation task -- a variant of program repair which aims to adapt variable identifiers in a pasted snippet of code to the surrounding, pr...

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