Image de couverture de livre

METFORD -- Mutation tEsTing Framework fOR anDroid

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vincenzi, Auri M. R., Kuroishi, Pedro H., Bispo, João C. M., da Veiga, Ana R. C., da Mata, David R. C., Azevedo, Francisco B., Paiva, Ana C. R.
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

AgentDroid: A Multi-Agent Framework for Detecting Fraudulent Android Applications
par: Pan, Ruwei, et autres
Publié: (2025)

AutoDroid: LLM-powered Task Automation in Android
par: Wen, Hao, et autres
Publié: (2023)

DroidBot-GPT: GPT-powered UI Automation for Android
par: Wen, Hao, et autres
Publié: (2023)

FuncDroid: Towards Inter-Functional Flows for Comprehensive Mobile App GUI Testing
par: He, Jinlong, et autres
Publié: (2026)

Multi-Language Detection of Design Pattern Instances
par: Andrade, Hugo, et autres
Publié: (2025)

Software Testing Education and Industry Needs - Report from the ENACTEST EU Project
par: Saadatmand, Mehrdad, et autres
Publié: (2025)

ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback
par: Li, Xiaolei, et autres
Publié: (2025)

MioHint: LLM-assisted Mutation for Whitebox API Testing
par: Li, Jia, et autres
Publié: (2025)

Reproducibility, Replicability, and Repeatability: A survey of reproducible research with a focus on high performance computing
par: Antunes, Benjamin A., et autres
Publié: (2024)

LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
par: Liu, Zhijie, et autres
Publié: (2024)

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection
par: Orel, Daniil, et autres
Publié: (2025)

Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations
par: Antunes, Benjamin, et autres
Publié: (2024)

APIKS: A Modular ROS2 Framework for Rapid Prototyping and Validation of Automated Driving Systems
par: Zacchi, João-Vitor, et autres
Publié: (2025)

EpiDroid: Dependency-Guided Recomposition for Deep State Discovery in Mobile GUI Testing
par: Song, Jiahui, et autres
Publié: (2026)

WebSPL: A Software Product Line for Web Applications
par: da Luz, Maicon Azevedo, et autres
Publié: (2024)

AsaPy: A Python Library for Aerospace Simulation Analysis
par: Dantas, Joao P. A., et autres
Publié: (2023)

A Declarative Framework for Hand-Crafted Mutation Analysis and Management
par: Keles, Alperen
Publié: (2026)

What Developers Ask to ChatGPT in GitHub Pull Requests? an Exploratory Study
par: Silva, Julyanara R., et autres
Publié: (2025)

Arquitectura de Comunicación entre Frameworks Jade-Symfony
par: Paola J. Rodríguez C.
Publié: (2007)

Boosting LLMs for Mutation Generation
par: Wang, Bo, et autres
Publié: (2026)

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

A City upon a Hill: Casting Light on a Real Experimental Process
par: C., Efraín R. Fonseca, et autres
Publié: (2021)

Framework to coordinate ubiquitous devices with SOA standards
par: Testa, Oscar A., et autres
Publié: (2024)

Deep Learning Framework Testing via Model Mutation: How Far Are We?
par: Mu, Yanzhou, et autres
Publié: (2025)

Mutation-Based Deep Learning Framework Testing Method in JavaScript Environment
par: Zou, Yinglong, et autres
Publié: (2024)

ZETA: a library for Zonotope-based EsTimation and fAult diagnosis of discrete-time systems
par: Rego, Brenner S., et autres
Publié: (2025)

DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation
par: Mu, Yanzhou, et autres
Publié: (2025)

Are Large Language Models Robust in Understanding Code Against Semantics-Preserving Mutations?
par: Orvalho, Pedro, et autres
Publié: (2025)

A Symbolic Computing Perspective on Software Systems
par: Norman, Arthur C., et autres
Publié: (2024)

Digital Ecosystem for FAIR Time Series Data Management in Environmental System Science
par: Bumberger, J., et autres
Publié: (2024)

A Defect Taxonomy for Infrastructure as Code: A Replication Study
par: Oliveira, Wendell, et autres
Publié: (2025)

Defining the Game Producer: A Mapping of Key Characteristics and Differentiators of the Professional Behind Digital Game Production
par: Lopes, Rafael C., et autres
Publié: (2025)

Treat societally impactful scientific insights as open-source software artifacts
par: Liem, Cynthia C. S., et autres
Publié: (2023)

A Family-Based Approach to Safety Cases for Controlled Airspaces in Small Uncrewed Aerial Systems
par: Hunter, Michael C., et autres
Publié: (2025)

QuanForge: A Mutation Testing Framework for Quantum Neural Networks
par: Shao, Minqi, et autres
Publié: (2026)

SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties
par: Okafor, Chinenye, et autres
Publié: (2024)

CoDefeater: Using LLMs To Find Defeaters in Assurance Cases
par: Gohar, Usman, et autres
Publié: (2024)

Operationalizing Research Software for Supply Chain Security
par: Kalu, Kelechi G., et autres
Publié: (2026)

A Physics-Informed Neuro-Fuzzy Framework for Quantum Error Attribution
par: Hassan, Marwa R., et autres
Publié: (2026)

Reusing Deep Learning Models: Challenges and Directions in Software Engineering
par: Davis, James C., et autres
Publié: (2024)