Model-based testing of autonomous robots using TestIt

Autor: Jüri Vain, Gert Kanter
Rok vydání: 2020
Předmět:
Zdroj: Journal of Reliable Intelligent Environments. 6:15-30
ISSN: 2199-4676
2199-4668
Popis: This paper presents a testing toolkit named TestIt. Its main goal is to provide tools for automated model-based testing of autonomous multi-robot systems to verify long-term autonomy in various applications including those of smart city environments and smart buildings. The main novelty of the presented toolkit is the open and scalable multi-pipeline architecture that enables incorporation of test development and execution tools from various vendors. The second main contribution is adaptive test optimization technique that takes advantage of the proposed multi-pipeline architecture where testing threads can communicate and coordinate the test runs based on their cooperatively collected test performance data. The usability of TestIt for test generation, testing process performance improvement and optimization in multi-robot autonomous navigation context is demonstrated using a smart building robotic security system case study.
Databáze: OpenAIRE