Image de couverture de livre

Latent Space Class Dispersion: Effective Test Data Quality Assessment for DNNs

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vekariya, Vivek, Golagha, Mojdeh, Stocco, Andrea, Pretschner, Alexander
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

Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing
par: Lambertenghi, Stefano Carlo, et autres
Publié: (2024)

Latent Regularization in Generative Test Input Generation
par: Merabishvili, Giorgi, et autres
Publié: (2026)

Analyzing the Usage of Donation Platforms for PyPI Libraries
par: Tsakpinis, Alexandros, et autres
Publié: (2025)

Analyzing the Accessibility of GitHub Repositories for PyPI and NPM Libraries
par: Tsakpinis, Alexandros, et autres
Publié: (2024)

Analyzing the Availability of E-Mail Addresses for PyPI Libraries
par: Tsakpinis, Alexandros, et autres
Publié: (2026)

Investigating Notable Metadata Practices in PyPI Libraries: An Empirical Study about Repository and Donation Platform URLs
par: Tsakpinis, Alexandros, et autres
Publié: (2026)

Modeling Dependency-Propagated Ecosystem Impact of Changes in Maintenance Activities: Evaluating Support Strategies in the PyPI Network
par: Tsakpinis, Alexandros, et autres
Publié: (2026)

Feature-Aware Test Generation for Deep Learning Models
par: Chen, Xingcheng, et autres
Publié: (2026)

A Multi-Year Grey Literature Review on AI-assisted Test Automation
par: Ricca, Filippo, et autres
Publié: (2024)

PerturbationDrive: A Framework for Perturbation-Based Testing of ADAS
par: Leonhard, Hannes, et autres
Publié: (2026)

OpenCat: Improving Interoperability of ADS Testing
par: Ali, Qurban, et autres
Publié: (2025)

Coverage-Guided Road Selection and Prioritization for Efficient Testing in Autonomous Driving Systems
par: Ali, Qurban, et autres
Publié: (2026)

Forecasting the Maintained Score from the OpenSSF Scorecard: A Study of GitHub Repositories Linked to PyPI Packages
par: Tsakpinis, Alexandros, et autres
Publié: (2026)

Towards Automated Page Object Generation for Web Testing using Large Language Models
par: Karagöz, Betül, et autres
Publié: (2026)

Web Element Relocalization in Evolving Web Applications: A Comparative Analysis and Extension Study
par: Kluge, Anton, et autres
Publié: (2025)

STELLAR: A Search-Based Testing Framework for Large Language Model Applications
par: Sorokin, Lev, et autres
Publié: (2026)

Neural Embeddings for Web Testing
par: Kanaththage, Kasun, et autres
Publié: (2023)

Simulator Ensembles for Trustworthy Autonomous Driving Testing
par: Sorokin, Lev, et autres
Publié: (2025)

Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study
par: Chand, Sivajeet, et autres
Publié: (2025)

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study
par: Chand, Sivajeet, et autres
Publié: (2026)

Large Language Models for Secure Code Assessment: A Multi-Language Empirical Study
par: Dozono, Kohei, et autres
Publié: (2024)

Misbehavior Forecasting for Focused Autonomous Driving Systems Testing
par: Naziri, M M Abid, et autres
Publié: (2025)

HyperNet-Adaptation for Diffusion-Based Test Case Generation
par: Weißl, Oliver, et autres
Publié: (2026)

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
par: Lambertenghi, Stefano Carlo, et autres
Publié: (2025)

Quality Assessment of Python Tests Generated by Large Language Models
par: Alves, Victor, et autres
Publié: (2025)

Benchmarking Generative AI Models for Deep Learning Test Input Generation
par: Maryam, et autres
Publié: (2024)

Targeted Deep Learning System Boundary Testing
par: Weißl, Oliver, et autres
Publié: (2024)

A Multi-Modality Evaluation of the Reality Gap in Autonomous Driving Systems
par: Lambertenghi, Stefano Carlo, et autres
Publié: (2025)

XMutant: XAI-based Fuzzing for Deep Learning Systems
par: Chen, Xingcheng, et autres
Publié: (2025)

Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
par: Grewal, Ruben, et autres
Publié: (2024)

Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
par: Biagiola, Matteo, et autres
Publié: (2023)

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
par: Geng, Jiahui, et autres
Publié: (2025)

On the Effectiveness of Modular Testing in EvoSuite
par: Dinella, Elizabeth
Publié: (2026)

Effective Targeted Testing of Smart Contracts
par: Fooladgar, Mahdi, et autres
Publié: (2024)

TestBench: Evaluating Class-Level Test Case Generation Capability of Large Language Models
par: Zhang, Quanjun, et autres
Publié: (2024)

The Role of Road Features and Vehicle Dynamics in Cost-Effective Autonomous Vehicles Safety Testing: Insights from Instance Space Analysis
par: Crespo-Rodriguez, Victor, et autres
Publié: (2026)

A Multi-Layer Testing Framework for Automated Data Quality Assurance in Cloud-Native ELT Pipelines
par: Gargouri, Ismail, et autres
Publié: (2026)

Elevating Software Quality in Agile Environments: The Role of Testing Professionals in Unit Testing
par: Neves, Lucas, et autres
Publié: (2024)

Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage
par: Yoshimoto, Suzuka, et autres
Publié: (2026)

KTester: Leveraging Domain and Testing Knowledge for More Effective LLM-based Test Generation
par: Li, Anji, et autres
Publié: (2025)