- Patent Title: Automated program repair using stack traces and back translations
-
Application No.: US18110873Application Date: 2023-02-16
-
Publication No.: US11809302B2Publication Date: 2023-11-07
- Inventor: Colin Bruce Clement , Dawn Drain , Guillermo Serrato Castilla , Neelakantan Sundaresan
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC.
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
- Current Assignee Address: US WA Redmond
- Main IPC: G06F11/36
- IPC: G06F11/36 ; G06N3/045 ; G06N3/08

Abstract:
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.
Public/Granted literature
- US20230195600A1 AUTOMATED PROGRAM REPAIR USING STACK TRACES AND BACK TRANSLATIONS Public/Granted day:2023-06-22
Information query