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Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?

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Abstract

Debugging, that is, identifying and fixing bugs in software, is a central part of software development. Developers are therefore often confronted with the task of deciding whether a given code snippet contains a bug, and if yes, where. Recently, data-driven methods have been employed to learn this task of bug detection, resulting (amongst others) in so called neural bug detectors. Neural bug detectors are trained on millions of buggy and correct code snippets.

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Publication details

DOI
10.1145/3551349.3561156
OpenAlex
W4313563708
Document type
conference-paper
Language
EN
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