Saved in:
| Main Authors: | He, Yingying, Pei, Xiaobing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.03151 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Architecting software monitors for control-flow anomaly detection through large language models and conformance checking
by: Vitale, Francesco, et al.
Published: (2025)
by: Vitale, Francesco, et al.
Published: (2025)
Transfer learning for conflict and duplicate detection in software requirement pairs
by: Malik, Garima, et al.
Published: (2023)
by: Malik, Garima, et al.
Published: (2023)
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
by: Yamanaka, Yuuki, et al.
Published: (2024)
by: Yamanaka, Yuuki, et al.
Published: (2024)
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
by: Zhang, Tiehua, et al.
Published: (2023)
by: Zhang, Tiehua, et al.
Published: (2023)
LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
by: Zhang, Shenglin, et al.
Published: (2025)
by: Zhang, Shenglin, et al.
Published: (2025)
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
by: Majumder, Suvodeep, et al.
Published: (2022)
by: Majumder, Suvodeep, et al.
Published: (2022)
QualiTagger: Automating software quality detection in issue trackers
by: Shivashankar, Karthik, et al.
Published: (2025)
by: Shivashankar, Karthik, et al.
Published: (2025)
A systematic literature Review for Transformer-based Software Vulnerability detection
by: Naseer, Fiza, et al.
Published: (2026)
by: Naseer, Fiza, et al.
Published: (2026)
An empirical study of testing machine learning in the wild
by: Openja, Moses, et al.
Published: (2023)
by: Openja, Moses, et al.
Published: (2023)
FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge
by: Zhao, Xinlong, et al.
Published: (2025)
by: Zhao, Xinlong, et al.
Published: (2025)
SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair
by: Zhang, Yifan, et al.
Published: (2026)
by: Zhang, Yifan, et al.
Published: (2026)
Detecting Buggy Contracts via Smart Testing
by: Wang, Sally Junsong, et al.
Published: (2024)
by: Wang, Sally Junsong, et al.
Published: (2024)
DeepTSF: Codeless machine learning operations for time series forecasting
by: Pelekis, Sotiris, et al.
Published: (2023)
by: Pelekis, Sotiris, et al.
Published: (2023)
DomainLab: A modular Python package for domain generalization in deep learning
by: Sun, Xudong, et al.
Published: (2024)
by: Sun, Xudong, et al.
Published: (2024)
SemRep: Generative Code Representation Learning with Code Transformations
by: Li, Weichen, et al.
Published: (2026)
by: Li, Weichen, et al.
Published: (2026)
ITER: Iterative Neural Repair for Multi-Location Patches
by: Ye, He, et al.
Published: (2023)
by: Ye, He, et al.
Published: (2023)
Mechanistic Interpretability of Code Correctness in LLMs via Sparse Autoencoders
by: Tahimic, Kriz, et al.
Published: (2025)
by: Tahimic, Kriz, et al.
Published: (2025)
Revisiting the Plastic Surgery Hypothesis via Large Language Models
by: Xia, Chunqiu Steven, et al.
Published: (2023)
by: Xia, Chunqiu Steven, et al.
Published: (2023)
Verifier-Guided Code Translation via Meta-Step Decoding
by: Zhou, Tianyang, et al.
Published: (2026)
by: Zhou, Tianyang, et al.
Published: (2026)
Shapley-Guided Neural Repair Approach via Derivative-Free Optimization
by: Sun, Xinyu, et al.
Published: (2026)
by: Sun, Xinyu, et al.
Published: (2026)
Pruning the Unsurprising: Efficient LLM Reasoning via First-Token Surprisal
by: Zeng, Wenhao, et al.
Published: (2025)
by: Zeng, Wenhao, et al.
Published: (2025)
ReVeal: Self-Evolving Code Agents via Reliable Self-Verification
by: Jin, Yiyang, et al.
Published: (2025)
by: Jin, Yiyang, et al.
Published: (2025)
Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests
by: Shihab, Ibne Farabi, et al.
Published: (2025)
by: Shihab, Ibne Farabi, et al.
Published: (2025)
QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
by: Ke, Changxin, et al.
Published: (2026)
by: Ke, Changxin, et al.
Published: (2026)
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs
by: Shan, Shiwen, et al.
Published: (2024)
by: Shan, Shiwen, et al.
Published: (2024)
FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection
by: Chen, Jialuo, et al.
Published: (2024)
by: Chen, Jialuo, et al.
Published: (2024)
ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation
by: Feng, Shiwei, et al.
Published: (2024)
by: Feng, Shiwei, et al.
Published: (2024)
Fault Localization via Fine-tuning Large Language Models with Mutation Generated Stack Traces
by: Jambigi, Neetha, et al.
Published: (2025)
by: Jambigi, Neetha, et al.
Published: (2025)
RocketPPA: Code-Level Power, Performance, and Area Prediction via LLM and Mixture of Experts
by: Abdollahi, Armin, et al.
Published: (2025)
by: Abdollahi, Armin, et al.
Published: (2025)
Breaking Memorization Barriers in LLM Code Fine-Tuning via Information Bottleneck for Improved Generalization
by: Wang, Changsheng, et al.
Published: (2025)
by: Wang, Changsheng, et al.
Published: (2025)
A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent
by: Yang, James, et al.
Published: (2024)
by: Yang, James, et al.
Published: (2024)
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing
by: Zhou, Shide, et al.
Published: (2024)
by: Zhou, Shide, et al.
Published: (2024)
SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
by: Raghavendra, Mohit, et al.
Published: (2026)
by: Raghavendra, Mohit, et al.
Published: (2026)
Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis
by: Yang, Xixuan, et al.
Published: (2025)
by: Yang, Xixuan, et al.
Published: (2025)
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
by: Li, Linyi, et al.
Published: (2024)
by: Li, Linyi, et al.
Published: (2024)
Enhancing software product lines with machine learning components
by: Cobaleda, Luz-Viviana, et al.
Published: (2025)
by: Cobaleda, Luz-Viviana, et al.
Published: (2025)
EditLord: Learning Code Transformation Rules for Code Editing
by: Li, Weichen, et al.
Published: (2025)
by: Li, Weichen, et al.
Published: (2025)
evomap: A Toolbox for Dynamic Mapping in Python
by: Matthe, Maximilian
Published: (2025)
by: Matthe, Maximilian
Published: (2025)
Open-source framework for detecting bias and overfitting for large pathology images
by: Sildnes, Anders, et al.
Published: (2025)
by: Sildnes, Anders, et al.
Published: (2025)
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
by: Yang, Lichen, et al.
Published: (2025)
by: Yang, Lichen, et al.
Published: (2025)
Similar Items
-
Architecting software monitors for control-flow anomaly detection through large language models and conformance checking
by: Vitale, Francesco, et al.
Published: (2025) -
Transfer learning for conflict and duplicate detection in software requirement pairs
by: Malik, Garima, et al.
Published: (2023) -
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
by: Yamanaka, Yuuki, et al.
Published: (2024) -
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
by: Zhang, Tiehua, et al.
Published: (2023) -
LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
by: Zhang, Shenglin, et al.
Published: (2025)