Abstract Context: A Machine Learning based System (MLS) is a software system including
one or more components that learn how to perform a task from a given data set. The …

Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …

This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …

AI-based systems are software systems with functionalities enabled by at least one AI
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …

Artificial intelligence enabled systems have been an inevitable part of everyday life.
However, efficient software engineering principles and processes need to be considered …

Despite the significant increase in cybersecurity solutions investment, organizations are still
plagued by security breaches, especially data breaches. As more organizations experience …

Abstract Machine learning techniques, especially deep learning, have achieved remarkable
breakthroughs over the past decade. At present, machine learning applications are …

Abstract Context: Neural Network (NN) algorithms have been successfully adopted in a
number of Safety-Critical Cyber-Physical Systems (SCCPSs). Testing and Verification (T&V) …

In the rapidly evolving semiconductor industry, where research, design, verification, and
manufacturing are intricately linked, the potential of Large Language Models to revolutionize …

The accurate estimation of airspace capacity in unmanned traffic management (UTM)
operations is critical for a safe, efficient, and equitable allocation of airspace system …