AI Engineering Suite to support Agile Efficient Software Engineering

Digital, Industry & SpaceHORIZON-RIAID: 101189908
EC Contribution
โ‚ฌ44,965
Consortium Size
15 orgs
Start Year
2024
โ–ถSummary

AI4SOFTENG represents an excellent chemistry of 13 Partners including experts and practitioners in Model-Drive Software Engineering and AI Engineering (particularly LLMs) from across Europe and USA with four use-cases from Software Development, Healthcare, Cyber-Physical System involving multi-architectural and resource-constrained systems and Next Generation Battery Management in EVs. The AI4SOFENG mission is to significantly contribute to the transformation of agile software development into a sector turbocharged for design-by-contact high efficiency, reliability, and security-privacy compliant delivery. This is to exploit advanced AI-powered software development support to deliver high-quality reliable fast time-to-market solutions that are socially responsible, scalable, sustainable and lend themselves to audible ethical and regulatory compliance.AI4SOFTENG aims deliver AI-powered support to software developers to help reduce worker stress past the pain-points in agile SW development pipelines and higher productivity thus enhanced job satisfaction and creativity. Accordingly, the project will develop, deliver and validate, in 4 use-cases, a platform comprising a set of tools including AISysDev and Test Automation Tool to support the software lifecycle end-to-end for both functional and non-functional deliverables by supporting a host of tasks such as code generation, cross-compilation advanced debugging and dynamic slicing, adaptation, security-privacy by design, reliability, energy efficiency and adaptation as well as project management, process quality and maintenance support through data-driven insights for informed design decision-making and strategic software development planning Additionally with a commitment to advance user-centred design, it will provide structured design in advanced prompt engineering to support software developers team to best exploit to capabilities of the platform.

Consortium (15)

Project Results (7)

Source: CORDIS, the EU research results database.

โ–ถPublications (1)
Text2Stories: Evaluating the Alignment Between Stakeholder Interviews and Generated User Stories
ยท 2025DOI
Francesco Dente, Fabiano Dalpiaz, Paolo Papotti
โ–ถDeliverables (6)