Project
Name/Tagline
Generative AI for the Software Development Life Cycle
Description
In the GENIUS project, we aim to develop automated solutions and customized tools to enhance the different stages of the development lifecycle, leveraging the advanced capabilities of generative AI and large language models. These innovative methods and tools will assist software engineers with generated software artifacts, such as requirements, code, and test cases.
Responsible
Isabel Praça (ISEP)
Project Coordinator
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Reference:
COMPETE2030-FEDER-01641200
ITEA: 23026
Casablanca Hotelsoftware GmbH (DE)
InfPro IT Solutions GmbH (DE)
Roosi (EE)
University of Innsbruck (AT)
c.c.com GmbH (DE)
Up2 Technology (FI)
Emtech Group, Inc. (US)
Impact AI (PT)
Mobile Innovations (CA)
Ontario Tech University (CA)
QA Consultants (CA)
Akamon Innovations Oy (FI)
Solita Oy (FI)
University of Jyväskylä (FI)
AKKA Industry Consulting GmbH (DE)
Cape of Good Code (PT)
EKS InTec GmbH (DE)
Fraunhofer (DE)
Institut for Automation und Kommunikation (IFAK) (DE)
Siemens AG (DE)
University of Hildesheim (DE)
itemis AG (DE)
Eindhoven University of Technology (NL)
ICT Netherlands (NL)
Philips Medical Systems Nederland B.V. (NL)
TNO (NL)
Instituto Superior de Engenharia do Porto (ISEP) (PT)
Loop Circular, lda (PT)
LUCE IT (PT)
Panel Sistemas (PT)
University of Madrid Carlos III (ES)
Alstom Transportation (FR)
Clever Compliance AB (SE)
RISE – Research institutes of Sweden (SE)
Arcelik (TR)
Dakik Yazilim Teknolojileri (TR)
NetRD (TR)
Turkcell Teknoloji (TR)
British Telecom Plc (GB)
Diffblue Ltd (GB)
GoCodeGreen (GB)
King’s College London (GB)
Total Budget
GECAD Budget
