Project Objectives & Use Cases
Systematising safe, correct and accessible software development for business-critical and safety-critical systems
To Enhance Software Development Capabilities for Industry and beyond
- The adoption of LC/NC platforms will enable faster development of applications and software. The WAVE project will enable rapid application development and expedited deployment capabilities.
- By empowering non-technical staff to create custom applications, WAVE will improve agility and responsiveness in companies and beyond. This will enable staff (even those without a background in software development) to develop and modify tools tailored to customer needs without extensive IT support or the need for additional resources.
Innovation and Sustainability
- Through our network of international collaborators, WAVE will act as a focal point for the integration of various software systems being developed internationally. In this way, WAVE will act as the locus for a “System of Systems”, driving innovation and ensuring maximum usability and sustainability of these systems.
Education & Talent Development
- Through our network of international collaborators, WAVE will act as a focal point for the integration of various software systems being developed internationally. In this way, WAVE will act as the locus for a “System of Systems”, driving innovation and ensuring maximum usability and sustainability of these systems.
The I-Form Research Centre on Advanced Manufacturing is a key adopter of Wave. I-Form researches new materials and their processing, specifically with new 3D printing technologies, adopting and producing digital technologies to develop, model and control the processes. Wave was initially introduced through their ’AI for Advanced Manufacturing’ Platform, but use cases for the technology are in development across I-Form’s other Platforms; ’Product and Process Modelling’ and ’Manufacturing Process Development’.
Three of the Wave collaborators and key engineers of the Wave are PhD students within the CRT-AI national structured PhD program. They recently started their secondment at the Irish Central Statistics Office (CSO), applying the technology for CSO uses within the historical collections of data use cases. Already in the first month, new opportunities for further collaboration with the CSO on Wave-related projects have been identified.
Collaborations are underway with Mechanical and Civil Engineering within UL using Wave’s model-centric approach concern sustainability in the property characterisation of special steels, and in energy consumption analysis in buildings. Both domains, including sustainable energy, are now expanding to international collaborations.
Within the CRT-AI and the EU COST Action ’GREATLEAP’ we have been working to produce a flexible and customisable platform for AI-supported transcription of handwritten historical documents, mostly targeting civil registers of death, birth and marriage. Due to different alphabets, languages, structures and needs, this is
likely to become a product line of transcription tools.
In collaboration with the EDVANCE project at UniTO, production of the first Wave MOOC began in March 2026. This introductory module provides the foundation for the development of a suite of training materials (also in the form of MOOCs) designed to target each of the five professional profiles identified as core targets of the Wave Platform; Platform Experts, SIB programming experts, Domain modelling experts, Application designers/experts, and End users. The vision for the Wave training programme is to allow users of all skill levels to effectively engage with the Platform, while also enabling them to potentially upskill in the future. There may also be scope to utilise AI in the training programme to create specific learning pathways for learners based on their needs, evaluation performance, and prior knowledge.
Mission & Vision
WAVE aims to systematize and spread the global low-code/no-code revolution, arming key corporate stakeholders and citizen developers with a robust, research-led LC/NC platform and advanced adoption toolkit — leveraging international academic and industrial knowledge in formal methods, security, and more.
The WAVE Platform
A coherent, holistic platform offering both generic and customisable modelling environments for domain-specific development, plus a superior Digital Thread platform for data and software integration — achieved through meta-tooling support, enhanced formal methods, and real-world case studies.
Meta-Tooling Support
Digital Thread Integtration
Enhanced Formal Methods
Neurosymbolic AI
Stakeholder-Driven Strategy
Built on engaged and action research methods, WAVE commits to continuous stakeholder collaboration, platform iteration, and research dissemination — spanning tool development, adoption, validation, stress testing, education, and training.
Education & Training
Development of comprehensive training and education programmes for WAVE users, no matter what their level of programming experience. The team are also actively engaged in education and public engagement activties to inspire the next generation of computer scientists.
Read More about the Project
WAVE is arming key corporate stakeholders and citizen developers with a robust, research-led LC/NC platform and advanced adoption toolkit. WAVE will leverage international academic and industrial knowledge in LC/NC as well as in formal methods, security, and more, to focus on low-code development platforms, their adoption, use and evaluation.
Research within the project will provide a coherent, holistic, and robust platform that offers both generic and customisable modelling environments aimed at LC style domain specific development, as well as a superior “Digital Thread” platform which supports data and software integration. This is achieved by means of meta-tooling support, enhanced formal methods, and the creation of applications and case studies using domains, languages, and tooling congruous to those known by industry collaborators and domain experts.
Entrenched into the strategy of WAVE is a commitment to stakeholder collaboration, as well as continuous platform iteration and research/educational dissemination. In this respect, the WAVE research programme will be built on the foundations of engaged and action research methods. Stakeholders will be engaged throughout the project which spans tool and platform development, adoption on case studies, validation, and stress testing, and dissemination, education, and training. This ambitious research program will achieve significant impact across the quadruple helix of government, industry, academia, and society while also contributing to talent development.