Cover Image

Characterizing Bugs and Quality Attributes in Quantum Software: A Large-Scale Empirical Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yousuf, Mir Mohammad, Sofi, Shabir Ahmad
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bug Classification in Quantum Software: A Rule-Based Framework and Its Evaluation
by: Yousuf, Mir Mohammad, et al.
Published: (2025)

What Makes Software Bugs Escape Testing? Evidence from a Large-Scale Empirical Study
by: Cotroneo, Domenico, et al.
Published: (2026)

An Empirical Study of Interaction Bugs in ROS-based Software
by: Chen, Zhixiang, et al.
Published: (2025)

Characterizing Bugs in Login Processes of Android Applications: An Empirical Study
by: Zhou, Zixu, et al.
Published: (2025)

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
by: Liao, Zeqin, et al.
Published: (2025)

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports
by: Chen, Zhiyuan, et al.
Published: (2025)

Understanding Bugs in Quantum Simulators: An Empirical Study
by: Upadhyay, Krishna, et al.
Published: (2026)

An Empirical Study of Refactoring Engine Bugs
by: Wang, Haibo, et al.
Published: (2024)

LLMs are Bug Replicators: An Empirical Study on LLMs' Capability in Completing Bug-prone Code
by: Guo, Liwei, et al.
Published: (2025)

Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study
by: Shah, Mehil B., et al.
Published: (2024)

Understanding Bug-Reproducing Tests: A First Empirical Study
by: Hora, Andre, et al.
Published: (2026)

Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities
by: Jiang, Wenyuan, et al.
Published: (2025)

An Empirical Study on the Classification of Bug Reports with Machine Learning
by: Andrade, Renato, et al.
Published: (2025)

An Empirical Study of Bugs in Modern LLM Agent Frameworks
by: Zhu, Xinxue, et al.
Published: (2026)

Bug Priority Change: An Empirical Study on Apache Projects
by: Li, Zengyang, et al.
Published: (2024)

Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub
by: Aktar, Mst Shamima, et al.
Published: (2023)

Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)

Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation
by: Mahbub, Parvez, et al.
Published: (2022)

Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation
by: Acharya, Jagrit, et al.
Published: (2025)

Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
by: Nadim, Md, et al.
Published: (2025)

An Empirical Study on Leveraging Images in Automated Bug Report Reproduction
by: Wang, Dingbang, et al.
Published: (2025)

BugMentor: Generating Answers to Follow-up Questions from Software Bug Reports using Structured Information Retrieval and Neural Text Generation
by: Mukherjee, Usmi, et al.
Published: (2023)

SelfHeal: Empirical Fix Pattern Analysis and Bug Repair in LLM Agents
by: Islam, Niful, et al.
Published: (2026)

Bug Priority Change Prediction: An Exploratory Study on Apache Software
by: Cai, Guangzong, et al.
Published: (2025)

When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issues in Software Defect Prediction
by: Dapaah, Emmanuel Charleson, et al.
Published: (2025)

Empirical Studies on Quantum Optimization for Software Engineering: A Systematic Analysis
by: Zhang, Man, et al.
Published: (2025)

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering
by: Shah, Mehil B, et al.
Published: (2024)

Automating Patch Set Generation from Code Review Comments Using Large Language Models
by: Rahman, Tajmilur, et al.
Published: (2024)

From Logic to Toolchains: An Empirical Study of Bugs in the TypeScript Ecosystem
by: Tang, TianYi, et al.
Published: (2026)

Does Programming Language Matter? An Empirical Study of Fuzzing Bug Detection
by: Shirai, Tatsuya, et al.
Published: (2026)

Code Comments for Quantum Software Development Kits: An Empirical Study on Qiskit
by: Zhou, Zenghui, et al.
Published: (2025)

An Empirical Study on the Characteristics of Database Access Bugs in Java Applications
by: Liu, Wei, et al.
Published: (2024)

Quality Attributes Optimization of Software Architecture: Research Challenges and Directions
by: Di Pompeo, Daniele, et al.
Published: (2023)

Multi-objective Software Architecture Refactoring driven by Quality Attributes
by: Di Pompeo, Daniele, et al.
Published: (2023)

Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection
by: Rathnasuriya, Ravishka, et al.
Published: (2026)

Dissecting Bug Triggers and Failure Modes in Modern Agentic Frameworks: An Empirical Study
by: Zhang, Xiaowen, et al.
Published: (2026)

Guidelines for Empirical Studies in Software Engineering involving Large Language Models
by: Baltes, Sebastian, et al.
Published: (2025)

Black-Box Bug-Amplification for Multithreaded Software
by: Weiss, Yeshayahu, et al.
Published: (2025)

One Bug, Hundreds Behind: LLMs for Large-Scale Bug Discovery
by: Wu, Qiushi, et al.
Published: (2025)

Does Documentation Matter? An Empirical Study of Practitioners' Perspective on Open-Source Software Adoption
by: Imani, Aaron, et al.
Published: (2024)