7 papers
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
Hassan Sartaj, Shaukat Ali, Paolo Arcaini +1
Search-based software engineering (SBSE), which integrates metaheuristic search techniques with software engineering, has been an active area of research for about 25 years. It has…
UAMTERS: Uncertainty-Aware Mutation Analysis for DL-enabled Robotic Software
Chengjie Lu, Jiahui Wu, Shaukat Ali +5
Self-adaptive robots adjust their behaviors in response to unpredictable environmental changes. These robots often incorporate deep learning (DL) components into their software to…
Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models
Hassan Sartaj, Jalil Boudjadar, Mirgita Frasheri +2
Future self-adaptive robots are expected to operate in highly dynamic environments while effectively managing uncertainties. However, identifying the sources and impacts of uncerta…
Assessing Quantum Extreme Learning Machines for Software Testing in Practice
Asmar Muqeet, Hassan Sartaj, Aitor Arrieta +6
Machine learning has been extensively applied for classical software testing activities such as test generation, minimization, and prioritization. Along the same lines, there has b…
REST API Testing in DevOps: A Study on an Evolving Healthcare IoT Application
Hassan Sartaj, Shaukat Ali, Julie Marie Gjøby
Healthcare Internet of Things (IoT) applications often integrate various third-party healthcare applications and medical devices through REST APIs, resulting in complex and interde…
Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
Sangwon Hyun, Shaukat Ali, M. Ali Babar
Assessing the trustworthiness of Large Language Models (LLMs), such as robustness, has garnered significant attention. Recently, metamorphic testing that defines Metamorphic Relati…