activity
20192025
most citedTesting Multiple Linear Regression Systems with Metamorphic Testing

34 citations · 64 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE2025

Integrating Artificial Intelligence with Human Expertise: An In-depth Analysis of ChatGPT's Capabilities in Generating Metamorphic Relations

Yifan Zhang, Dave Towey, Matthew Pike +3

Context: This paper provides an in-depth examination of the generation and evaluation of Metamorphic Relations (MRs) using GPT models developed by OpenAI, with a particular focus o…

cs.RO2024

A novel framework for adaptive stress testing of autonomous vehicles in multi-lane roads

Linh Trinh, Quang-Hung Luu, Thai M. Nguyen +1

Stress testing is an approach for evaluating the reliability of systems under extreme conditions which help reveal vulnerable scenarios that standard testing may overlook. Identify…

cs.NI2024

Digital Infrastructure for Connected and Automated Vehicles

Quang-Hung Luu, Thai M. Nguyen, Nan Zheng +1

Connected and automated vehicles (CAV) are expected to deliver a much safer, more efficient, and eco-friendlier mobility. Being an indispensable component of the future transportat…

cs.SE2023★ 1 cited

Can ChatGPT advance software testing intelligence? An experience report on metamorphic testing

Quang-Hung Luu, Huai Liu, Tsong Yueh Chen

While ChatGPT is a well-known artificial intelligence chatbot being used to answer human's questions, one may want to discover its potential in advancing software testing. We exami…

cs.SE2022★ 5 cited

Testing Ocean Software with Metamorphic Testing

Quang-Hung Luu, Huai Liu, Tsong Yueh Chen +1

Advancing ocean science has a significant impact to the development of the world, from operating a safe navigation for vessels to maintaining a healthy and diverse ocean ecosystem.…

cs.SE2022★ 3 cited

A Sequential Metamorphic Testing Framework for Understanding Automated Driving Systems

Quang-Hung Luu, Huai Liu, Tsong Yueh Chen +1

Automated driving systems (ADS) are expected to be reliable and robust against a wide range of driving scenarios. Their decisions, first and foremost, must be well understood. Unde…

cs.DS2022★ 1 cited

TreePIR: Efficient Private Retrieval of Merkle Proofs via Tree Colorings with Fast Indexing and Zero Storage Overhead

Son Hoang Dau, Quang Cao, Rinaldo Gagiano +9

A Batch Private Information Retrieval (batch-PIR) scheme allows a client to retrieve multiple data items from a database without revealing them to the storage server(s). Most exist…

cs.RO2021★ 17 cited

An Empirical Testing of Autonomous Vehicle Simulator System for Urban Driving

John Seymour, Dac-Thanh-Chuong Ho, Quang-Hung Luu

Safety is one of the main challenges that prohibit autonomous vehicles (AV), requiring them to be well tested ahead of being allowed on the road. In comparison with road tests, sim…

stat.ME2021★ 34 cited

Testing Multiple Linear Regression Systems with Metamorphic Testing

Quang-Hung Luu, Man F. Lau, Sebastian P. H. Ng +1

Regression is one of the most commonly used statistical techniques. However, testing regression systems is a great challenge because of the absence of test oracle in general. In th…

cs.IT2019★ 3 cited

Transition Waste Optimization for Coded Elastic Computing

Hoang Dau, Ryan Gabrys, Yu-Chih Huang +4

Distributed computing, in which a resource-intensive task is divided into subtasks and distributed among different machines, plays a key role in solving large-scale problems. Coded…