Lowcomote · Training the Next Generation of Experts in Scalable Low-Code Engineering Platforms
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2019-01-01 → 2023-06-30
- EU contribution
- €3,941,855
- Participants
- 15
- Scheme
- MSCA-ITN
Lines connect the coordinator with its partners.
Results in brief
Training the Next Generation of Experts in Scalable Low-Code Engineering Platforms
Low-code development platforms (LCDPs) are software development platforms on the Cloud, provided through a Platform-as a-Service model, which allow users to build completely operational applications by interacting through dynamic graphical user interfaces, visual diagrams and declarative languages. They address the need of non-programmers to develop personalized software, and focus on their domain expertise instead of implementation requirements. Lowcomote trains a generation of experts that will upgrade the current trend of LCDPs to a new paradigm, low-code engineering platforms (LCEPs). LCEPs will be open, allowing to integrate heterogeneous engineering tools, interoperable, allowing for cross-platform engineering, scalable, supporting very large engineering models and social networks of developers, smart, simplifying the development for citizen developers by machine learning and recommendation techniques. This will be achieved by injecting in LCDPs the theoretical and technical framework defined by recent research in Model-Driven Engineering (MDE), augmented with Cloud Computing and Machine Learning techniques. The 54-month Lowcomote project trains the first European generation of skilled professionals in LCEPs. The 15 future scientists benefit from an original training and research program merging competencies and knowledge from 5 highly-recognized academic institutions and 9 large and small industries of several domains. To reach its main scientific goal, Lowcomote integrates an interdisciplinary and inter-sectoral research program around three specific research objectives (RO) and three training objectives (TO). Lowcomote trains ESRs capable of: * RO1: Enabling Low-code Engineering of Large-Scale Heterogeneous Systems (WP3), by smart development environments on the Cloud and precise integration of low-code languages with new domains. * RO2: Developing a Large-scale Repository and Services for Low-Code Engineering (WP4), as a Cloud-based service able to handle a very large number of low-code artifacts, and automatically learn from them. * RO3: Producing advancements in Scalable Low-Code Artifact Management (WP5), as new algorithms and reusable components. The Lowcomote training program: * TO1: Provides ESRs with scientific knowledge beyond the state of the art to strengthen career perspectives. * TO2: Maximises exposure to different environments, in order to give ESRs the possibility to understand the whole chain of value in their domain. Multiple exposures enhance creativity, agility and value generation. * TO3: Provides ESRs with communication, management and career development skills, enabling them to succeed in any sector.
Data: CORDIS, © European Union
Project objective
Low-code development platforms (LCPD) are software development platforms on the Cloud, provided through a Platform-as a-Service model, which allow users to build completely operational applications by interacting through dynamic graphical user interfaces, visual diagrams and declarative languages. They address the need of non-programmers to develop personalised software, and focus on their domain expertise instead of implementation requirements.Lowcomote will train a generation of experts that will upgrade the current trend of LCPDs to a new paradigm, Low-code Engineering Platforms (LCEPs). LCEPs will be open, allowing to integrate heterogeneous engineering tools, interoperable, allowing for cross-platform engineering, scalable, supporting very large engineering models and social networks of developers, smart, simplifying the development for citizen developers by machine learning and recommendation techniques. This will be achieved by injecting in LCDPs the theoretical and technical framework defined by recent research in Model Driven Engineering (MDE), augmented with Cloud Computing and Machine Learning techniques. This is possible today thanks to recent breakthroughs in scalability of MDE performed in the EC FP7 research project MONDO, lead by Lowcomote partners.The 48-month Lowcomote project will train the first European generation of skilled professionals in LCEPs. The 15 future scientists will benefit from an original training and research programme merging competencies and knowledge from 5 highly recognised academic institutions and 9 large and small industries of several domains. Co-supervision from both sectors is a promising process to facilitate agility of our future professionals between the academic and industrial world.re
Original text from CORDIS.
Participants
- INSTITUT MINES-TELECOM · PalaiseauCoordinatorFrance
- BRITISH TELECOMMUNICATIONS PLC · LONDONUnited Kingdom
- CLMS (UK) LIMITED · LondonUnited Kingdom
- INCQUERY LABS ZARTKORUEN MUKODO RT · BUDAPESTHungary
- INTECS SPA · RomaItaly
- METADEV SOCIEDAD LIMITADA · Camas SevillaSpain
- PARALLELS SOFTWARE ESTONIA OU · TallinnEstonia
- SPARXSYSTEMS SOFTWARE GMBH · WienAustria
- TECHNISCHE UNIVERSITAET WIEN · WienAustria
- The Open Group Limited · READINGUnited Kingdom
- UGROUND GLOBAL SL · MadridSpain
- UNIVERSIDAD AUTONOMA DE MADRID · MadridSpain
- UNIVERSITA DEGLI STUDI DELL'AQUILA · L AQUILAItaly
- UNIVERSITAT LINZ · LinzAustria
- UNIVERSITY OF YORK · YORK NORTH YORKSHIREUnited Kingdom
Links
- View on CORDIS
- DOI: 10.3030/813884
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e50524bb13&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5d66edcd1&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5d67123bb&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5d671be31&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5d6729f07&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5d672e233&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5d672fc0c&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5d674d9c9&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5ebc1588c&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5f2d5bc3e&appId=PPGMS
Data: CORDIS, © European Union
