Image de couverture de livre

A Taxonomy of Real Faults in Hybrid Quantum-Classical Architectures

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bensoussan, Avner, Jahangirova, Gunel, Mousavi, Mohammad Reza
Format:	Preprint
Publié:	2025
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Comparative Analysis of Carbon Footprint in Manual vs. LLM-Assisted Code Development
par: Cheung, Kuen Sum, et autres
Publié: (2025)

Real Faults in Deep Learning Fault Benchmarks: How Real Are They?
par: Jahangirova, Gunel, et autres
Publié: (2024)

muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults
par: Thomas, Deepak-George, et autres
Publié: (2024)

Toward Live Noise Fingerprinting in Quantum Software Engineering
par: Bensoussan, Avner, et autres
Publié: (2025)

Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs
par: Kim, Jinhan, et autres
Publié: (2025)

Benchmarking and Evaluating VLMs for Software Architecture Diagram Understanding
par: Ouyang, Shuyin, et autres
Publié: (2026)

How Does Chunking Affect Retrieval-Augmented Code Completion? A Controlled Empirical Study
par: Wu, Xinjian, et autres
Publié: (2026)

An Empirical Study of Fault Localisation Techniques for Deep Learning
par: Humbatova, Nargiz, et autres
Publié: (2024)

Understanding LLM-Driven Test Oracle Generation
par: Bodicoat, Adam, et autres
Publié: (2026)

Revisiting "Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion": A Critical Review and Implications on DNN Coverage Testing
par: Kim, Jinhan, et autres
Publié: (2026)

New Formulation of DNN Statistical Mutation Killing for Ensuring Monotonicity: A Technical Report
par: Kim, Jinhan, et autres
Publié: (2025)

MuFF: Stable and Sensitive Post-training Mutation Testing for Deep Learning
par: Kim, Jinhan, et autres
Publié: (2025)

GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming
par: Ayerdi, Jon, et autres
Publié: (2023)

Accelerating Quantum Eigensolver Algorithms With Machine Learning
par: Bensoussan, Avner, et autres
Publié: (2024)

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy
par: Taraghi, Mina, et autres
Publié: (2026)

Characterizing Faults in Agentic AI: A Taxonomy of Types, Symptoms, and Root Causes
par: Shah, Mehil B, et autres
Publié: (2026)

Software Architecture Challenges in Integrating Hybrid Classical-Quantum Systems
par: Stirbu, Vlad, et autres
Publié: (2023)

QuCheck: A Property-based Testing Framework for Quantum Programs in Qiskit
par: Pontolillo, Gabriel, et autres
Publié: (2025)

Robust Mutation Analysis of Quantum Programs Under Noise
par: Fortz, Sophie, et autres
Publié: (2026)

Exploring LLM-Driven Explanations for Quantum Algorithms
par: d'Aloisio, Giordano, et autres
Publié: (2024)

LLMs-Powered Real-Time Fault Injection: An Approach Toward Intelligent Fault Test Cases Generation
par: Abboush, Mohammad, et autres
Publié: (2025)

Why Attention Fails: A Taxonomy of Faults in Attention-Based Neural Networks
par: Jahan, Sigma, et autres
Publié: (2025)

When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer Forums
par: Zappin, Jake, et autres
Publié: (2024)

The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software
par: De Maio, Vincenzo, et autres
Publié: (2025)

Quantum Software Architecture Framework (QSAF): A Component-Based Framework for Designing Hybrid Quantum-Classical Systems
par: Kiwelekar, Arvind W., et autres
Publié: (2026)

Trials and Tribulations of Developing Hybrid Quantum-Classical Microservices Systems
par: Rojo, Javier, et autres
Publié: (2021)

Complete FSM Testing Using Strong Separability
par: Hierons, Robert M., et autres
Publié: (2025)

A Taxonomy of Real-World Defeaters in Safety Assurance Cases
par: Gohar, Usman, et autres
Publié: (2025)

Software is infrastructure: failures, successes, costs, and the case for formal verification
par: Bernardi, Giovanni, et autres
Publié: (2025)

Hybrid Quantum-Classical Machine Learning with PennyLane: A Comprehensive Guide for Computational Research
par: Shapiro, Sidney
Publié: (2025)

FauxPy: A Fault Localization Tool for Python
par: Rezaalipour, Mohammad, et autres
Publié: (2024)

Hybrid Fault-Driven Mutation Testing for Python
par: Alimadadi, Saba, et autres
Publié: (2026)

LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops
par: Ravi, Ravin, et autres
Publié: (2026)

Failure-Guided Fuzzing for Hybrid Quantum-Classical Programs
par: Zhang, Lei
Publié: (2026)

An Empirical Study of Fault Localization in Python Programs
par: Rezaalipour, Mohammad, et autres
Publié: (2023)

Software Testing in the Quantum World
par: Abreu, Rui, et autres
Publié: (2026)

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques
par: Hussain, Aftab, et autres
Publié: (2023)

Evaluating Mutation-based Fault Localization for Quantum Programs
par: Ishimoto, Yuta, et autres
Publié: (2025)

A Task Taxonomy for Conformance Checking
par: Rehse, Jana-Rebecca, et autres
Publié: (2025)

Benchmarking Requirement-to-Architecture Generation with Hybrid Evaluation
par: Li, Minxiao, et autres
Publié: (2026)