Fault localization
15 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Fault localization
Most implemented papers
BALANCE: Bayesian Linear Attribution for Root Cause Localization
In particular, we propose BALANCE (BAyesian Linear AttributioN for root CausE localization), which formulates the problem of RCA through the lens of attribution in XAI and seeks to explain the anomalies in the target KPIs by the behavior of the candidate root causes.
Mutation-based Fault Localization of Deep Neural Networks
ali-ghanbari/deepmufl-ase-2023
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Deep neural networks (DNNs) are susceptible to bugs, just like other types of software systems.
Large Language Models for Test-Free Fault Localization
squareslab/llmao
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Specifically, we propose to overcome the left-to-right nature of LLMs by fine-tuning a small set of bidirectional adapter layers on top of the representations learned by LLMs to produce LLMAO, the first language model based fault localization approach that locates buggy lines of code without any test coverage information.
AutoCodeRover: Autonomous Program Improvement
Recent progress in Large Language Models (LLMs) has significantly impacted the development process, where developers can use LLM-based programming assistants to achieve automated coding.
