most citedDigital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems

46 citations · 154 across the 15 of their papers we have counts for

collaborators

15 papers

cs.SE2023

Cost Reduction on Testing Evolving Cancer Registry System

Erblin Isaku, Hassan Sartaj, Christoph Laaber +4

The Cancer Registration Support System (CaReSS), built by the Cancer Registry of Norway (CRN), is a complex real-world socio-technical software system that undergoes continuous evo…

cs.LG2023★ 46 cited

Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems

Qinghua Xu, Shaukat Ali, Tao Yue

Anomaly detection is critical to ensure the security of cyber-physical systems (CPS). However, due to the increasing complexity of attacks and CPS themselves, anomaly detection in…

cs.SE2023★ 1 cited

Towards Quantum Software Requirements Engineering

Tao Yue, Shaukat Ali, Paolo Arcaini

Quantum software engineering (QSE) is receiving increasing attention, as evidenced by increasing publications on topics, e.g., quantum software modeling, testing, and debugging. Ho…

cs.SE2023

Evolve the Model Universe of a System Universe

Tao Yue, Shaukat Ali

Uncertain, unpredictable, real time, and lifelong evolution causes operational failures in intelligent software systems, leading to significant damages, safety and security hazards…

cs.LG2023★ 11 cited

Knowledge Distillation-Empowered Digital Twin for Anomaly Detection

Qinghua Xu, Shaukat Ali, Tao Yue +2

Cyber-physical systems (CPSs), like train control and management systems (TCMS), are becoming ubiquitous in critical infrastructures. As safety-critical systems, ensuring their dep…

cs.SE2023★ 11 cited

Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned

Hassan Sartaj, Shaukat Ali, Tao Yue +1

Healthcare Internet of Things (IoT) applications require rigorous testing to ensure their dependability. Such applications are typically integrated with various third-party healthc…

cs.LG2023★ 11 cited

EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System

Chengjie Lu, Qinghua Xu, Tao Yue +3

The Cancer Registry of Norway (CRN) collects information on cancer patients by receiving cancer messages from different medical entities (e.g., medical labs, and hospitals) in Norw…

cs.SE2023★ 1 cited

HITA: An Architecture for System-level Testing of Healthcare IoT Applications

Hassan Sartaj, Shaukat Ali, Tao Yue +1

System-level testing of healthcare Internet of Things (IoT) applications requires creating a test infrastructure with integrated medical devices and third-party applications. A sig…

cs.SE2023★ 1 cited

QuCAT: A Combinatorial Testing Tool for Quantum Software

Xinyi Wang, Paolo Arcaini, Tao Yue +1

With the increased developments in quantum computing, the availability of systematic and automatic testing approaches for quantum programs is becoming increasingly essential. To th…

cs.SE2023★ 5 cited

Challenges of Testing an Evolving Cancer Registration Support System in Practice

Christoph Laaber, Tao Yue, Shaukat Ali +2

The Cancer Registry of Norway (CRN) is a public body responsible for capturing and curating cancer patient data histories to provide a unified access to research data and statistic…

cs.SE2023★ 10 cited

Test Case Minimization with Quantum Annealers

Xinyi Wang, Asmar Muqeet, Tao Yue +2

Quantum annealers are specialized quantum computers for solving combinatorial optimization problems using special characteristics of quantum computing (QC), such as superposition,…

cs.SE2023★ 6 cited

Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway

Christoph Laaber, Tao Yue, Shaukat Ali +2

The Cancer Registry of Norway (CRN) collects, curates, and manages data related to cancer patients in Norway, supported by an interactive, human-in-the-loop, socio-technical decisi…

cs.SE2023★ 3 cited

Mitigating Noise in Quantum Software Testing Using Machine Learning

Asmar Muqeet, Tao Yue, Shaukat Ali +1

Quantum Computing (QC) promises computational speedup over classic computing for solving complex problems. However, noise exists in current and near-term quantum computers. Quantum…

cs.SE2022★ 15 cited

Evaluating Search-Based Software Microbenchmark Prioritization

Christoph Laaber, Tao Yue, Shaukat Ali

Ensuring that software performance does not degrade after a code change is paramount. A solution is to regularly execute software microbenchmarks, a performance testing technique s…

cs.SE2022★ 33 cited

QuSBT: Search-Based Testing of Quantum Programs

Xinyi Wang, Paolo Arcaini, Tao Yue +1

Generating a test suite for a quantum program such that it has the maximum number of failing tests is an optimization problem. For such optimization, search-based testing has shown…