3 papers
cs.SE2024
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…
cs.SE2024
Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context
Xinyi Wang, Shaukat Ali, Aitor Arrieta +2
Quantum Extreme Learning Machine (QELM) is an emerging technique that utilizes quantum dynamics and an easy-training strategy to solve problems such as classification and regressio…
cs.SE2023
Pretrain, Prompt, and Transfer: Evolving Digital Twins for Time-to-Event Analysis in Cyber-physical Systems
Qinghua Xu, Tao Yue, Shaukat Ali +1
Cyber-Physical Systems (CPSs), e.g., elevator systems and autonomous driving systems, are progressively permeating our everyday lives. To ensure their safety, various analyses need…