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Fault Localization from the Semantic Code Search Perspective
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119880929.ch1openalex-snapshot
Software Fault Localization: an Overview of Research, Techniques, and Tools
inferredcites →https://doi.org/10.1002/stvr.1509openalex-snapshot
Metallaxis‐FL: mutation‐based fault localization
inferredcites →https://doi.org/10.1002/widm.1178openalex-snapshot
Community detection in social networks
inferredcites →https://doi.org/10.1007/s00355-011-0603-9openalex-snapshot
The original Borda count and partial voting
inferredcites →https://doi.org/10.1016/j.inffus.2022.08.024openalex-snapshot
Beyond word embeddings: A survey
inferredcites →https://doi.org/10.1016/j.scico.2009.02.007openalex-snapshot
Comparison and evaluation of code clone detection techniques and tools: A qualitative approach
inferredcites →https://doi.org/10.1038/s41598-019-41695-zopenalex-snapshot
From Louvain to Leiden: guaranteeing well-connected communities
inferredcites →https://doi.org/10.1109/aitb48515.2019.8947433openalex-snapshot
A Comparison of Semantic Similarity Methods for Maximum Human Interpretability
inferredcites →https://doi.org/10.1109/ase.2013.6693093openalex-snapshot
Improving bug localization using structured information retrieval
inferredcites →https://doi.org/10.1109/icse.2012.6227210openalex-snapshot
Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports
inferredcites →https://doi.org/10.1109/icse48619.2023.00185openalex-snapshot
CoCoSoDa: Effective Contrastive Learning for Code Search
inferredcites →https://doi.org/10.1109/prdc.2006.18openalex-snapshot
An Evaluation of Similarity Coefficients for Software Fault Localization
inferredcites →https://doi.org/10.1109/saner.2018.8330203openalex-snapshot
Dissection of a bug dataset: Anatomy of 395 patches from Defects4J
inferredcites →https://doi.org/10.1109/saner.2019.8668002openalex-snapshot
CNN-FL: An Effective Approach for Localizing Faults using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/taic.part.2007.13openalex-snapshot
On the Accuracy of Spectrum-based Fault Localization
inferredcites →https://doi.org/10.1109/tr.2013.2285319openalex-snapshot
The DStar Method for Effective Software Fault Localization
inferredcites →https://doi.org/10.1109/tse.2008.90openalex-snapshot
An Investigation into the Functional Form of the Size-Defect Relationship for Software Modules
inferredcites →https://doi.org/10.1109/tse.2016.2521368openalex-snapshot
A Survey on Software Fault Localization
inferredcites →https://doi.org/10.1109/tse.2019.2892102openalex-snapshot
An Empirical Study of Fault Localization Families and Their Combinations
inferredcites →https://doi.org/10.1109/tse.2022.3177713openalex-snapshot
BugBuilder: An Automated Approach to Building Bug Repository
inferredcites →https://doi.org/10.1145/2348283.2348315openalex-snapshot
User evaluation of query quality
inferredcites →https://doi.org/10.1145/2610384.2628055openalex-snapshot
Defects4J: a database of existing faults to enable controlled testing studies for Java programs
inferredcites →https://doi.org/10.1145/2771783.2771797openalex-snapshot
Evaluating the usefulness of IR-based fault localization techniques
inferredcites →https://doi.org/10.1145/2931037.2931051openalex-snapshot
Practitioners' expectations on automated fault localization
inferredcites →https://doi.org/10.1145/3092703.3092717openalex-snapshot
FLUCCS: using code and change metrics to improve fault localization
inferredcites →https://doi.org/10.1145/3106237.3106255openalex-snapshot
Where is the bug and how is it fixed? an experiment with practitioners
inferredcites →https://doi.org/10.1145/3293882.3330574openalex-snapshot
DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization
inferredcites →https://doi.org/10.1145/3468264.3468580openalex-snapshot
Boosting coverage-based fault localization via graph-based representation learning
inferredcites →https://doi.org/10.1145/3540250.3549137openalex-snapshot
Fault localization to detect co-change fixing locations
inferredcites →https://doi.org/10.1145/3551349.3559555openalex-snapshot
Few-shot training LLMs for project-specific code-summarization
inferredcites →https://doi.org/10.1145/3589334.3645336openalex-snapshot
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
inferredcites →https://doi.org/10.1145/3597503.3639187openalex-snapshot
Using an LLM to Help With Code Understanding
inferredcites →https://doi.org/10.1145/3611643.3616338openalex-snapshot
Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization
inferredcites →https://doi.org/10.1145/3622815openalex-snapshot
Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network
inferredcites →https://doi.org/10.1145/3655103.3655110openalex-snapshot
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs
inferredcites →https://doi.org/10.1145/3656341openalex-snapshot
A Survey of Source Code Search: A 3-Dimensional Perspective
inferredcites →https://doi.org/10.1145/3660771openalex-snapshot
A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization
inferredcites →https://doi.org/10.1145/3664597openalex-snapshot
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
inferredcites →https://doi.org/10.1145/83880.84459openalex-snapshot
Understanding object-oriented: a unifying paradigm
inferredcites →https://doi.org/10.1162/tacl_a_00638openalex-snapshot
Lost in the Middle: How Language Models Use Long Contexts
inferredcites →https://doi.org/10.1207/s15327051hci0304_2openalex-snapshot
Debugging: An Analysis of Bug-Location Strategies
inferredcites →https://doi.org/10.18653/v1/p19-2057openalex-snapshot
Sentiment Classification Using Document Embeddings Trained with Cosine Similarity
inferredcites →https://doi.org/10.5555/1639537.1639542openalex-snapshot
Multilayer perceptron and neural networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70277openalex-snapshot
A Survey of the Full Process of Code Search Based on Deep Learning
inferred← citeshttps://doi.org/10.1002/ente.70582openalex-snapshot
Evolution of Voltage Source Converter‐Based High‐Voltage Direct Current Protection Technologies and Emerging Intelligence Trends Enabled by Large Language Models
inferred← citeshttps://doi.org/10.1007/s42417-026-02648-9openalex-snapshot
Robust Slip-Compensated Control of a Wheeled Mobile Manipulator via Vision-Based Estimation and Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135397openalex-snapshot
MRIF: Verifiable meta-reasoning for risk-controlled tool use in LLM agents
inferred← citeshttps://doi.org/10.1109/access.2026.3719447openalex-snapshot
Coverage-Free LLM-Based Fault Localization via Semantic Reasoning Over Historical Bug Reports
inferred← citeshttps://doi.org/10.1145/3744916.3764566openalex-snapshot
Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts
inferred← citeshttps://doi.org/10.1145/3808110openalex-snapshot
Denoising Fault Localization with Test Line Proximity
inferred← citeshttps://doi.org/10.1145/3808198openalex-snapshot
One Size Does Fit All: Exploring Model Fusion for Software Engineering Tasks
inferred← citeshttps://doi.org/10.1145/3832193openalex-snapshot
Just Old Wine in a New Bottle: Improving Vulnerability Repair Robustness to Combat Homologous but Heterogeneous Vulnerabilities
inferred← citeshttps://doi.org/10.3389/fcomp.2026.1734298openalex-snapshot
A lightweight approach to software fault localization using static features of statements in cloud computing environments
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