most citedTowards Learning and Verifying Invariants of Cyber-Physical Systems by Code Mutation

26 citations · 54 across the 5 of their papers we have counts for

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cs.SE2024

Drive: User-Controlled Autonomous Driving

Kun Wang, Christopher M. Poskitt, Yang Sun +4

Autonomous Vehicles (AVs) rely on sophisticated Autonomous Driving Systems (ADSs) to provide passengers a satisfying and safe journey. The individual preferences of riders plays a…

cs.SE202413 cited

ACAV: A Framework for Automatic Causality Analysis in Autonomous Vehicle Accident Recordings

Huijia Sun, Christopher M. Poskitt, Yang Sun +2

The rapid progress of autonomous vehicles~(AVs) has brought the prospect of a driverless future closer than ever. Recent fatalities, however, have emphasized the importance of safe…

cs.SE20247 cited

REDriver: Runtime Enforcement for Autonomous Vehicles

Yang Sun, Christopher M. Poskitt, Xiaodong Zhang +1

Autonomous driving systems (ADSs) integrate sensing, perception, drive control, and several other critical tasks in autonomous vehicles, motivating research into techniques for ass…

cs.SE20248 cited

Fixing Your Own Smells: Adding a Mistake-Based Familiarisation Step When Teaching Code Refactoring

Ivan Tan, Christopher M. Poskitt

Programming problems can be solved in a multitude of functionally correct ways, but the quality of these solutions (e.g. readability, maintainability) can vary immensely. When code…

cs.SE201626 cited

Towards Learning and Verifying Invariants of Cyber-Physical Systems by Code Mutation

Yuqi Chen, Christopher M. Poskitt, Jun Sun

Cyber-physical systems (CPS), which integrate algorithmic control with physical processes, often consist of physically distributed components communicating over a network. A malfun…