Coverage-Driven SLAM Testing

software

posted on 2023-01-25, 10:11 authored by Philip TaschePhilip Tasche, Paula Herber

This dataset contains software to automatically generate high-coverage tests for SLAM algorithms by partitioning of the input space. It also contains some pre-generated test suites, experimental results comparing the performances of different generation methods, and replication information for the experiments. For details on how to adjust the test case generation as well as detailed replication instructions, refer to the enclosed README.md.

History

Publisher

4TU.ResearchData

Format

*.py; *.png; *.txt

Organizations

University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Formal Methods and Tools (FMT) University of Münster, Faculty of Mathematics and Computer Science

Usage metrics

Keywords

Autonomous Vehicles Simultaneous localization and mapping (SLAM)Test Automation Coverage-driven Testing Input space partitioning Computer Software

Licence

MIT