Model-based testing of autonomous robots using TestIt
Autor: | Jüri Vain, Gert Kanter |
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Rok vydání: | 2020 |
Předmět: |
Model-based testing
Renewable Energy Sustainability and the Environment Computer Networks and Communications business.industry Computer science 010401 analytical chemistry 020206 networking & telecommunications Context (language use) Usability 02 engineering and technology 01 natural sciences 0104 chemical sciences Computer Science Applications Artificial Intelligence Smart city Scalability 0202 electrical engineering electronic engineering information engineering Robot Computerized adaptive testing business Software engineering Building automation |
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 |
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