Supporting System Testing with a Multi-Agent LLM-based Framework for Knowledge Graph Extraction: A Case Study with Ethernet Switch Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Pan, Rongqi, Dadkhah, Mahboubeh, Minani, Jean Baptiste, Osman, Hussein Al, Briand, Lionel, Dong, Haiwei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks
by: Abbasishahkoo, Amin, et al.
Published: (2023)
by: Abbasishahkoo, Amin, et al.
Published: (2023)
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
by: Abbasishahkoo, Amin, et al.
Published: (2025)
by: Abbasishahkoo, Amin, et al.
Published: (2025)
A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs
by: Abbasishahkoo, Amin, et al.
Published: (2026)
by: Abbasishahkoo, Amin, et al.
Published: (2026)
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
by: Aghababaeyan, Zohreh, et al.
Published: (2023)
by: Aghababaeyan, Zohreh, et al.
Published: (2023)
CAFD: Concept-Aware DNN Fault Detection using VLMs
by: Abbasishahkoo, Amin, et al.
Published: (2026)
by: Abbasishahkoo, Amin, et al.
Published: (2026)
Requirements Coverage-Guided Minimization for Natural Language Test Cases
by: Pan, Rongqi, et al.
Published: (2025)
by: Pan, Rongqi, et al.
Published: (2025)
LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models
by: Pan, Rongqi, et al.
Published: (2023)
by: Pan, Rongqi, et al.
Published: (2023)
TVR: Automotive System Requirement Traceability Validation and Recovery Through Retrieval-Augmented Generation
by: Niu, Feifei, et al.
Published: (2025)
by: Niu, Feifei, et al.
Published: (2025)
Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems
by: Lee, Jaekwon, et al.
Published: (2025)
by: Lee, Jaekwon, et al.
Published: (2025)
A Systematic Literature Review of Machine Learning Approaches for Migrating Monolithic Systems to Microservices
by: Trabelsi, Imen, et al.
Published: (2025)
by: Trabelsi, Imen, et al.
Published: (2025)
Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
by: Yousefizadeh, Hossein, et al.
Published: (2024)
by: Yousefizadeh, Hossein, et al.
Published: (2024)
Similar Pattern Annotation via Retrieval Knowledge for LLM-Based Test Code Fault Localization
by: Gharachorlu, Golnaz, et al.
Published: (2026)
by: Gharachorlu, Golnaz, et al.
Published: (2026)
Constrained Co-evolutionary Metamorphic Differential Testing for Autonomous Systems with an Interpretability Approach
by: Yousefizadeh, Hossein, et al.
Published: (2025)
by: Yousefizadeh, Hossein, et al.
Published: (2025)
Stress Testing Control Loops in Cyber-Physical Systems
by: Mandrioli, Claudio, et al.
Published: (2023)
by: Mandrioli, Claudio, et al.
Published: (2023)
Automated Test Case Repair Using Language Models
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2024)
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2024)
Hallucination to Consensus: Multi-Agent LLMs for End-to-End JUnit Test Generation
by: Xu, Qinghua, et al.
Published: (2025)
by: Xu, Qinghua, et al.
Published: (2025)
Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2021)
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2021)
Drivora: A Unified and Extensible Infrastructure for Search-based Autonomous Driving Testing
by: Cheng, Mingfei, et al.
Published: (2026)
by: Cheng, Mingfei, et al.
Published: (2026)
Testing Updated Apps by Adapting Learned Models
by: Ngo, Chanh-Duc, et al.
Published: (2023)
by: Ngo, Chanh-Duc, et al.
Published: (2023)
Search-based DNN Testing and Retraining with GAN-enhanced Simulations
by: Attaoui, Mohammed Oualid, et al.
Published: (2024)
by: Attaoui, Mohammed Oualid, et al.
Published: (2024)
MOTIF: A tool for Mutation Testing with Fuzzing
by: Lee, Jaekwon, et al.
Published: (2024)
by: Lee, Jaekwon, et al.
Published: (2024)
Learning-Guided Fuzzing for Testing Stateful SDN Controllers
by: Ollando, Raphaël, et al.
Published: (2024)
by: Ollando, Raphaël, et al.
Published: (2024)
A Structured Approach to Safety Case Construction for AI Systems
by: Lee, Sung Une, et al.
Published: (2026)
by: Lee, Sung Une, et al.
Published: (2026)
FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
by: Fatima, Sakina, et al.
Published: (2023)
by: Fatima, Sakina, et al.
Published: (2023)
Mutation-Guided Unit Test Generation with a Large Language Model
by: Wang, Guancheng, et al.
Published: (2025)
by: Wang, Guancheng, et al.
Published: (2025)
Call-Chain-Aware LLM-Based Test Generation for Java Projects
by: Wang, Guancheng, et al.
Published: (2026)
by: Wang, Guancheng, et al.
Published: (2026)
Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2025)
by: Yaraghi, Ahmadreza Saboor, et al.
Published: (2025)
Classifier or Prompt: A Case Study on Legal Requirements Traceability
by: Etezadi, Romina, et al.
Published: (2025)
by: Etezadi, Romina, et al.
Published: (2025)
LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
by: Hadadi, Fatemeh, et al.
Published: (2024)
by: Hadadi, Fatemeh, et al.
Published: (2024)
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
by: Sharifi, Sepehr, et al.
Published: (2024)
by: Sharifi, Sepehr, et al.
Published: (2024)
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches
by: Attaoui, Mohammed Oualid, et al.
Published: (2023)
by: Attaoui, Mohammed Oualid, et al.
Published: (2023)
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks for Image Analysis
by: Aghababaeyan, Zohreh, et al.
Published: (2024)
by: Aghababaeyan, Zohreh, et al.
Published: (2024)
Testing CPS with Design Assumptions-Based Metamorphic Relations and Genetic Programming
by: Mandrioli, Claudio, et al.
Published: (2024)
by: Mandrioli, Claudio, et al.
Published: (2024)
LLM-Driven Cost-Effective Requirements Change Impact Analysis
by: Etezadi, Romina, et al.
Published: (2025)
by: Etezadi, Romina, et al.
Published: (2025)
AIM: Automated Input Set Minimization for Metamorphic Security Testing
by: Chaleshtari, Nazanin Bayati, et al.
Published: (2024)
by: Chaleshtari, Nazanin Bayati, et al.
Published: (2024)
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
by: Zolfagharian, Amirhossein, et al.
Published: (2023)
by: Zolfagharian, Amirhossein, et al.
Published: (2023)
Legal Requirements Analysis
by: Abualhaija, Sallam, et al.
Published: (2023)
by: Abualhaija, Sallam, et al.
Published: (2023)
Learning Failure-Inducing Models for Testing Software-Defined Networks
by: Ollando, Raphaël, et al.
Published: (2022)
by: Ollando, Raphaël, et al.
Published: (2022)
Trace Diagnostics for Signal-based Temporal Properties
by: Boufaied, Chaima, et al.
Published: (2022)
by: Boufaied, Chaima, et al.
Published: (2022)
SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis
by: Marquer, Yoann, et al.
Published: (2026)
by: Marquer, Yoann, et al.
Published: (2026)
Similar Items
-
TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks
by: Abbasishahkoo, Amin, et al.
Published: (2023) -
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
by: Abbasishahkoo, Amin, et al.
Published: (2025) -
A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs
by: Abbasishahkoo, Amin, et al.
Published: (2026) -
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
by: Aghababaeyan, Zohreh, et al.
Published: (2023) -
CAFD: Concept-Aware DNN Fault Detection using VLMs
by: Abbasishahkoo, Amin, et al.
Published: (2026)