Cover Image

From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Qunying, Nouri, Ali, Sivencrona, Håkan, Sarro, Federica
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative AI for Testing of Autonomous Driving Systems: A Survey
by: Song, Qunying, et al.
Published: (2025)

Large Language Models in Code Co-generation for Safe Autonomous Vehicles
by: Nouri, Ali, et al.
Published: (2025)

On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software
by: Nouri, Ali, et al.
Published: (2025)

Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
by: Nouri, Ali, et al.
Published: (2024)

RE for AI in Practice: Managing Data Annotation Requirements for AI Autonomous Driving Systems
by: Saeeda, Hina, et al.
Published: (2025)

The DevSafeOps Dilemma: A Systematic Literature Review on Rapidity in Safe Autonomous Driving Development and Operation
by: Nouri, Ali, et al.
Published: (2025)

Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems
by: Li, Xinyue, et al.
Published: (2023)

On STPA for Distributed Development of Safe Autonomous Driving: An Interview Study
by: Nouri, Ali, et al.
Published: (2024)

Hot Fixing Software: A Comprehensive Review of Terminology, Techniques, and Applications
by: Hanna, Carol, et al.
Published: (2024)

An Industrial Experience Report about Challenges from Continuous Monitoring, Improvement, and Deployment for Autonomous Driving Features
by: Nouri, Ali, et al.
Published: (2024)

Moral Testing of Autonomous Driving Systems
by: Tang, Wenbing, et al.
Published: (2025)

BayesInsights: Modelling Software Delivery and Developer Experience with Bayesian Networks at Bloomberg
by: Kirbas, Serkan, et al.
Published: (2026)

Understanding Fairness in Software Engineering: Insights from Stack Exchange
by: Sesari, Emeralda, et al.
Published: (2024)

Psychological Safety Framework in Pull-based Open Source Projects
by: Sesari, Emeralda, et al.
Published: (2025)

It is Giving Major Satisfaction: Why Fairness Matters for Software Practitioners
by: Sesari, Emeralda, et al.
Published: (2024)

Fairness Testing: A Comprehensive Survey and Analysis of Trends
by: Chen, Zhenpeng, et al.
Published: (2022)

Coverage-Guided Road Selection and Prioritization for Efficient Testing in Autonomous Driving Systems
by: Ali, Qurban, et al.
Published: (2026)

Unveiling Practical Shortcomings of Patch Overfitting Detection Techniques
by: Williams, David, et al.
Published: (2026)

HerAgent: Rethinking the Automated Environment Deployment via Hierarchical Test Pyramid
by: Li, Xiang, et al.
Published: (2026)

Test-based Patch Clustering for Automatically-Generated Patches Assessment
by: Martinez, Matias, et al.
Published: (2022)

ADPerf: Investigating and Testing Performance in Autonomous Driving Systems
by: Pham, Tri Minh-Triet, et al.
Published: (2025)

Misbehavior Forecasting for Focused Autonomous Driving Systems Testing
by: Naziri, M M Abid, et al.
Published: (2025)

Causality-aware Safety Testing for Autonomous Driving Systems
by: Tang, Wenbing, et al.
Published: (2025)

MoDitector: Module-Directed Testing for Autonomous Driving Systems
by: Wang, Renzhi, et al.
Published: (2025)

Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance
by: Pinna, Giovanni, et al.
Published: (2026)

Unveiling Overlooked Performance Variance in Serverless Computing
by: Wen, Jinfeng, et al.
Published: (2023)

HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
by: Hanna, Carol, et al.
Published: (2025)

Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software
by: Chen, Zhenpeng, et al.
Published: (2024)

Echo: Graph-Enhanced Retrieval and Execution Feedback for Issue Reproduction Test Generation
by: Fei, Zhiwei, et al.
Published: (2026)

From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption
by: Nguyen, Thanh, et al.
Published: (2024)

SCOPE: Performance Testing for Serverless Computing
by: Wen, Jinfeng, et al.
Published: (2023)

Empirical and Sustainability Aspects of Software Engineering Research in the Era of Large Language Models: A Reflection
by: Williams, David, et al.
Published: (2025)

A Comprehensive Study of Bugs in Modern Distributed Deep Learning Systems
by: Ma, Xiaoxue, et al.
Published: (2025)

Towards Automated Driving Violation Cause Analysis in Scenario-Based Testing for Autonomous Driving Systems
by: Wan, Ziwen, et al.
Published: (2024)

Testing Autonomous Driving Systems -- What Really Matters and What Doesn't
by: Li, Changwen, et al.
Published: (2025)

FairRF: Multi-Objective Search for Single and Intersectional Software Fairness
by: d'Alosio, Giordano, et al.
Published: (2026)

Test Case Specification Techniques and System Testing Tools in the Automotive Industry: A Review
by: Zyberaj, Denesa, et al.
Published: (2025)

Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
by: Pham, Tri Minh Triet, et al.
Published: (2024)

LMM-enhanced Safety-Critical Scenario Generation for Autonomous Driving System Testing From Non-Accident Traffic Videos
by: Tian, Haoxiang, et al.
Published: (2024)

From Conflicts to Collisions: A Two-Stage Collision Scenario-Testing Approach for Autonomous Driving Systems
by: Chen, Siyuan, et al.
Published: (2026)