Boundary state generation for testing and improvement of autonomous driving systems

M Biagiola, P Tonella - IEEE Transactions on Software …, 2024 - ieeexplore.ieee.org
Recent advances in Deep Neural Networks (DNNs) and sensor technologies are enabling
autonomous driving systems (ADSs) with an ever-increasing level of autonomy. However …

Causal Reasoning in Software Quality Assurance: A Systematic Review

L Giamattei, A Guerriero, R Pietrantuono… - arXiv preprint arXiv …, 2024 - arxiv.org
Context: Software Quality Assurance (SQA) is a fundamental part of software engineering to
ensure stakeholders that software products work as expected after release in operation …

Adversarial testing with reinforcement learning: A case study on autonomous driving

A Doreste, M Biagiola, P Tonella - 2024 IEEE Conference on …, 2024 - ieeexplore.ieee.org
Testing autonomous driving systems (ADSs) is essential to ensure their safety. Existing
testing techniques manipulate the objects of the driving environment in order to trigger a …

Reality Bites: Assessing the Realism of Driving Scenarios with Large Language Models

J Wu, C Lu, A Arrieta, T Yue, S Ali - Proceedings of the 2024 IEEE/ACM …, 2024 - dl.acm.org
Large Language Models (LLMs) are demonstrating outstanding potential for tasks such as
text generation, summarization, and classification. Given that such models are trained on a …

Can Causal Thinking Render AI-Driven Systems More Robust?

P Bezzina - Available at SSRN 4832302, 2024 - papers.ssrn.com
The integration of causal thinking into AI-driven systems presents a promising avenue for
enhancing robustness, interpretability, and generalizability. Traditional AI models often rely …

[PDF][PDF] A Complete Bibliography of ACM Transactions on Software Engineering and Methodology

NHF Beebe - 2024 - ctan.math.utah.edu
A Complete Bibliography of ACM Transactions on Software Engineering and Methodology
Page 1 A Complete Bibliography of ACM Transactions on Software Engineering and …