Conveners
Session 3 - MBSE
- Alberto Gonzalez Fernandez (ESA, TEC-SYE)
- Isabelle Conway (ESA, TEC-QQS)
Artificial Intelligence for Software Engineering (AI4SE) examines how AI may improve the software-intensive systems engineering lifecycle encompassing several artifacts spanning all phases of continuous integration and continuous development. As these phases involve heterogeneous data sources and added levels of complexity according to the use case, traceability plays a vital role in ensuring...
In the past two years generative AI models have seen an explosion in popularity with many models being published [1]. Text-to-Text models such as ChatGPT3 [2], LaMDA [3], and PEER [4] as well as Text-to-Code models such as Codex [5] and AlphaCode [6] have demonstrated abilities to propose high quality solutions to technical tasks. Applications of these technologies to support space systems...
Space systems often have commonalities, and they might share comparable assumptions and requirements across projects. The assessment of new missions can be supported by model-based approaches, making use of new methods and tools so that consistency across models and at different phases is maintained. In this context, a Digital Assistant accessible to engineers can be used to ensure quality,...
