SiblingRepair uses LLMs with semantic sibling detection and simultaneous/iterative repair strategies to outperform prior multi-hunk APR tools like Hercules on Defects4J and GHRB benchmarks.
Shaping program repair space with existing patches and similar code
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SE 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
An empirical study of 1,004 bugs in template engine-based applications finds abnormal rendering results as the most common symptom (48.61%) and documents 17 root causes with fix patterns that often involve host-side logic changes.
citing papers explorer
-
SiblingRepair: Sibling-Based Multi-Hunk Repair with Large Language Models
SiblingRepair uses LLMs with semantic sibling detection and simultaneous/iterative repair strategies to outperform prior multi-hunk APR tools like Hercules on Defects4J and GHRB benchmarks.
-
Understanding Bugs in Template Engine-Based Applications: Symptoms, Root Causes, and Fix Patterns
An empirical study of 1,004 bugs in template engine-based applications finds abnormal rendering results as the most common symptom (48.61%) and documents 17 root causes with fix patterns that often involve host-side logic changes.