Automated program repair using stack traces and back translations

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United States of America Patent

PATENT NO 11809302
APP PUB NO 20230195600A1
SERIAL NO

18110873

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Abstract

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An automated program repair system uses a neural transformer model with attention to predict a bug-free version of a method having a source code bug identified in an associated stack trace. The neural transformer model is pre-trained with English language text and the source code of a target programming language. The pre-trained neural transformer model is trained to create synthetic bugs in bug-free methods. The bug-free methods with the synthetic bugs are executed with a test case to obtain a stack trace of the source code bug. The method with the synthetic bug, without the bug, and its stack trace are used to train the neural transformer model to predict repairs for buggy methods.

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Patent Owner(s)

  • MICROSOFT TECHNOLOGY LICENSING, LLC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Clement, Colin Bruce Seattle, US 26 38
Drain, Dawn Bellevue, US 13 11
Serrato, Castilla Guillermo Redmond, US 3 1
Sundaresan, Neelakantan Bellevue, US 386 10034

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