Innovating Works

H2020

Cerrada
HORIZON-CL4-2024-DIGITAL-EMERG...
Fundamentals of Software Engineering (RIA)
ExpectedOutcome:Responsible software engineering methods, tools, and best practices leveraging, among others, novel AI and data technologies to accelerate the development and maintenance of software, including for multi-architecture systems, addressing in particular efficient and agile modelling, verification and validation, as well as vulnerability assessment and mitigation.
Sólo fondo perdido 14M €
Europeo
Esta convocatoria está cerrada Esta línea ya está cerrada por lo que no puedes aplicar. Cerró el pasado día 19-03-2024.
Se espera una próxima convocatoria para esta ayuda, aún no está clara la fecha exacta de inicio de convocatoria.
Por suerte, hemos conseguido la lista de proyectos financiados!
Presentación: Consorcio Consorcio: Esta ayuda está diseñada para aplicar a ella en formato consorcio..
Esta ayuda financia Proyectos:

ExpectedOutcome:Responsible software engineering methods, tools, and best practices leveraging, among others, novel AI and data technologies to accelerate the development and maintenance of software, including for multi-architecture systems, addressing in particular efficient and agile modelling, verification and validation, as well as vulnerability assessment and mitigation.


Scope:Proposals are expected to progress state of the art in at least one of these areas:

Methods, mechanisms and tools that allow smart intelligent system specification, agile system and code development, advanced code analysis, fault prediction and location and self-repair by using emerging techniques, in particular based on AI and data technologies. This may include environments that allow to automatically derive requirements and produce conceptual and architectural models. Tools should support mastering complex requirements, design-by-contract programming at all levels of integration, semi-automatic creation of pre-conditions, post-conditions and invariants for software modules facilitating automated unit and integration testing.Methods and tools for the development of dyna... ver más

ExpectedOutcome:Responsible software engineering methods, tools, and best practices leveraging, among others, novel AI and data technologies to accelerate the development and maintenance of software, including for multi-architecture systems, addressing in particular efficient and agile modelling, verification and validation, as well as vulnerability assessment and mitigation.


Scope:Proposals are expected to progress state of the art in at least one of these areas:

Methods, mechanisms and tools that allow smart intelligent system specification, agile system and code development, advanced code analysis, fault prediction and location and self-repair by using emerging techniques, in particular based on AI and data technologies. This may include environments that allow to automatically derive requirements and produce conceptual and architectural models. Tools should support mastering complex requirements, design-by-contract programming at all levels of integration, semi-automatic creation of pre-conditions, post-conditions and invariants for software modules facilitating automated unit and integration testing.Methods and tools for the development of dynamic and resilient software for systems running on multiple processing architectures including cross-compilation, run-time self-adaptation and multi-architecture executables. Projects are expected to demonstrate their developments in at least three industrial or societal use-cases. Implementing responsible software engineering, the use-cases should address functional as well as non-functional requirements and principles like optimising energy usage, reducing the environmental footprint, security-by-design, and data protection.

Projects should provide a dissemination and use strategy. Research and Development should interface with relevant existing standards, where appropriate. Projects are encouraged to deliver results under Open Source licenses.

Projects should build on or seek collaboration with existing projects and develop synergies with other relevant European, national or regional initiatives, funding programmes and platforms.


Specific Topic Conditions:Activities are expected to start at TRL 2 and achieve TRL 5 by the end of the project – see General Annex B.




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Temáticas Obligatorias del proyecto: Temática principal: The scope involves advancing software engineering through AI and data technologies for efficient and agile modeling, verification, validation, and vulnerability management. Proposals should focus on smart intelligent system specification, agile development, fault prediction, self-repair, cross-compilation, and resilience with demonstrations in societal use-cases while promoting open-source results and collaboration.

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:
Empresas Micro, Pequeña, Mediana, Grande
Centros Tecnológicos
Universidades
Organismos públicos

Características del Proyecto

Requisitos de diseño: *Presupuesto para cada participante en el proyecto Requisitos técnicos: The expected impacts of the project include advancing software engineering through AI and data technologies to accelerate software development and maintenance, improving efficiency and agility in modeling, verification, and validation. Emphasis is placed on addressing complex requirements, implementing fault prediction, achieving system resilience, and enhancing security and environmental aspects, while promoting open-source collaboration and adherence to standards. ¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 4:. Es el primer paso para determinar si los componentes individuales funcionarán juntos como un sistema en un entorno de laboratorio. Es un sistema de baja fidelidad para demostrar la funcionalidad básica y se definen las predicciones de rendimiento asociadas en relación con el entorno operativo final. leer más.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
Fondo perdido:
The funding rate for RIA projects is 100 % of the eligible costs for all types of organizations.
Condiciones: No existe condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda no tiene efecto incentivador. + info.
Respuesta Organismo: Se calcula que aproximadamente, la respuesta del organismo una vez tramitada la ayuda es de:
Meses de respuesta:
Muy Competitiva:
No Competitiva Competitiva Muy Competitiva
El presupuesto total de la convocatoria asciende a
Presupuesto total de la convocatoria.
Proyectos financiables en esta convocatoria.
Minimis: Esta línea de financiación NO considera una “ayuda de minimis”. Puedes consultar la normativa aquí.
Certificado DNSH: Los proyectos presentados a esta línea deben de certificarse para demostrar que no causan perjuicio al medio ambiente. + info

Otras ventajas

Sello PYME: Tramitar esta ayuda con éxito permite conseguir el sello de calidad de “sello pyme innovadora”. Que permite ciertas ventajas fiscales.
Deducción I+D+i:
0% 25% 50% 75% 100%
La empresa puede aplicar deducciones fiscales en I+D+i de los gastos del proyecto y reducir su impuesto de sociedades. leer más