fiQare project develops an innovative methodology based on artificial intelligence. We analyze FIWARE technology automatically by using eight axes of ISO 25010 standard, applied to Generic Enablers (GEs) of FIWARE, finishing with two usage cases in real environment and evolutive development of GEs, improving FIWARE quality.
The project proposes carrying out an analysis, evaluation and validation methodology through AI to different GEs, that will be tested and improved in a real environment.
Advanced algorithm as clustering, prediction, mistake classification, etc.
Evolutive and anthill algorithms.
We detect the mistakes to assure the quality.
Deep Learning, Data Science, etc.
Consortium of project
Emergya leads an international consortium with Secmotic, TIGA and the Universities of Málaga and Ankara.
Secmotic and Emergya are responsible for the research and assessment of the quality of Fiware.
UMA works on the development of an artificial intelligence, capable of automatically analysing software . Furthermore, they work detecting improvement in code quality.