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On Distribution Shift in Learning-based Bug Detectors
v1v2 (latest)

On Distribution Shift in Learning-based Bug Detectors

International Conference on Machine Learning (ICML), 2022
21 April 2022
Jingxuan He
Luca Beurer-Kellner
Martin Vechev
ArXiv (abs)PDFHTMLGithub (16★)

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

10 / 10 papers shown
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language
  Models
DeepCode AI Fix: Fixing Security Vulnerabilities with Large Language Models
Berkay Berabi
Alexey Gronskiy
Veselin Raychev
Gishor Sivanrupan
Victor Chibotaru
Martin Vechev
KELM
194
25
0
19 Feb 2024
Learning Defect Prediction from Unrealistic Data
Learning Defect Prediction from Unrealistic DataIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2023
Kamel Alrashedy
Vincent J. Hellendoorn
Alessandro Orso
397
8
0
02 Nov 2023
OctoPack: Instruction Tuning Code Large Language Models
OctoPack: Instruction Tuning Code Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Niklas Muennighoff
Qian Liu
A. Zebaze
Qinkai Zheng
Binyuan Hui
Terry Yue Zhuo
Swayam Singh
Xiangru Tang
Leandro von Werra
Shayne Longpre
VLMALM
422
201
0
14 Aug 2023
Uncovering the Limits of Machine Learning for Automatic Vulnerability
  Detection
Uncovering the Limits of Machine Learning for Automatic Vulnerability DetectionUSENIX Security Symposium (USENIX Security), 2023
Niklas Risse
Marcel Bohme
AAML
445
62
0
28 Jun 2023
Large Language Models of Code Fail at Completing Code with Potential
  Bugs
Large Language Models of Code Fail at Completing Code with Potential BugsNeural Information Processing Systems (NeurIPS), 2023
Tuan Dinh
Jinman Zhao
Samson Tan
Renato M. P. Negrinho
Leonard Lausen
Sheng Zha
George Karypis
LRM
306
49
0
06 Jun 2023
RunBugRun -- An Executable Dataset for Automated Program Repair
RunBugRun -- An Executable Dataset for Automated Program Repair
Julian Aron Prenner
Romain Robbes
204
12
0
03 Apr 2023
Large Language Models for Code: Security Hardening and Adversarial
  Testing
Large Language Models for Code: Security Hardening and Adversarial TestingConference on Computer and Communications Security (CCS), 2023
Jingxuan He
Martin Vechev
ELMAAML
493
235
0
10 Feb 2023
Improving Automated Program Repair with Domain Adaptation
Improving Automated Program Repair with Domain AdaptationACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Armin Zirak
Hadi Hemmati
220
16
0
21 Dec 2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with
  CodeT5
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Nghi D. Q. Bui
Yue Wang
Steven C. H. Hoi
301
22
0
27 Nov 2022
Can we learn from developer mistakes? Learning to localize and repair
  real bugs from real bug fixes
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes
Cedric Richter
Heike Wehrheim
192
8
0
01 Jul 2022
1
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