The MOBATE project, which began in 2021 and is ongoing, aims to enable model-based testing and automated test case generation for ESOC ground segment data systems. This innovative approach seeks to combine Model-Based Software Engineering (MBSE) methodologies with AI and Natural Language Processing (NLP) techniques to recommend suitable test steps for new test cases, leveraging information from software models and historical test cases. The project’s focus includes advancing the ESOC ground segment testing automation framework and EUDART.

SoftCom International brings its expertise in Natural Language Processing and Machine Learning to the consortium, handling key software development tasks within the project.

Technologies used include OPEN libraries, TEMMPO Designer, EUDART, Eclipse RCP, EMF, Eclipse Sirius, Python, TensorFlow, Google BERT, REST, and GraphQL.

End Customer: ESOC     

Team:   etamax space, Softcom-Int, TPZ DE

Position: Subcontractor

under a programme of, and funded by, the European Space Agency