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.
An analysis of the search spaces for generate and validate patch generation systems,
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SpecTune improves LLM-based automated program repair by deriving localized postconditions at execution checkpoints and using alpha and beta signals to produce precise fault-localization and patch-generation guidance.
RAVEN combines agentic RAG, iterative repair, and a cross-file Curator Agent to achieve 83.13% repair success on diverse real-world CVEs using local open-source LLMs.
A classification of top SE publications 2015-2018 found low prevalence of direct human values consideration, with higher rates in conferences than journals.
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RAVEN: Agentic RAG for Automated Vulnerability Repair
RAVEN combines agentic RAG, iterative repair, and a cross-file Curator Agent to achieve 83.13% repair success on diverse real-world CVEs using local open-source LLMs.