On Distribution Shift in Learning-based Bug Detectors

On Distribution Shift in Learning-based Bug Detectors

21 April 2022

Luca Beurer-Kellner

Martin Vechev

Papers citing "On Distribution Shift in Learning-based Bug Detectors"

10 / 10 papers shown

Title
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models Berkay Berabi Alexey Gronskiy Veselin Raychev Gishor Sivanrupan Victor Chibotaru Martin Vechev KELM 33 8 0 19 Feb 2024
Learning Defect Prediction from Unrealistic Data Kamel Alrashedy Vincent J. Hellendoorn Alessandro Orso 19 5 0 02 Nov 2023
OctoPack: Instruction Tuning Code Large Language Models Niklas Muennighoff Qian Liu A. Zebaze Qinkai Zheng Binyuan Hui Terry Yue Zhuo Swayam Singh Xiangru Tang Leandro von Werra Shayne Longpre VLM ALM 71 119 0 14 Aug 2023
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection Niklas Risse Marcel Bohme AAML 71 22 0 28 Jun 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs Tuan Dinh Jinman Zhao Samson Tan Renato M. P. Negrinho Leonard Lausen Sheng Zha George Karypis LRM 40 25 0 06 Jun 2023
RunBugRun -- An Executable Dataset for Automated Program Repair Julian Aron Prenner Romain Robbes 41 11 0 03 Apr 2023
Large Language Models for Code: Security Hardening and Adversarial Testing Jingxuan He Martin Vechev ELM AAML 23 108 0 10 Feb 2023
Improving Automated Program Repair with Domain Adaptation Armin Zirak Hadi Hemmati 16 9 0 21 Dec 2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 Nghi D. Q. Bui Yue Wang Steven C. H. Hoi 27 15 0 27 Nov 2022
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes Cedric Richter Heike Wehrheim 27 8 0 01 Jul 2022