Training the Next Generation of Experts in Scalable Low-Code Engineering Platforms

Risultati finali

Lowcomotive Integrations - Final Version

This deliverable will include three integrated languages for Lowcomotive 1 the previous prototype for Active DSLs will be extended by supporting contextual rules and collaboration 2 the deliverable will allow data science developers to deliver knowledge models that can be augmented and deployed during downstreaming activities 3 the deliverable will propose a domainspecific language for the design of large and complex IoT systems like Smart Cities

Testing Framework and Process for Low-Code Engineering

This deliverable will present the final version of the testing framework for LowCode Engineering and its use within a DevOps process

Concepts for Mining Low-Code Engineering Repositories

This deliverable will present a collection of concepts for mapping operational data back to design models The report will cover the requirements to abstract several executions of a system in probabilistic runtime models a collection of probabilistic models usable to describe systems executions as well as automation possibilities for generating propabilitistic models and aligning them to design models This deliverable will also present a systematic literature survey on different mining algorithms for processrelated entities such as interaction histories Based on the found algorithms a classification as well as application recommendations for interaction mining in lowcode development platforms should be derived Furthermore a first collection of mining algorithms should be implemented in tested on interaction histories Finally the deliverable will include a literature review forautomated identification and probabilistic linking of lowcode system components from different system models

Cloud-Based Low-Code Engineering Editor - Final Version

This deliverable will increase the Cloudbased editor with multiple views abstractions and navigation strategies needed to handle models with millions of elements This deliverable will also provide a frontend based on natural language for the recommendation system

Components for Mining Low-Code Engineering Repositories

This deliverable will report on a reinforcement learning component that will be used to improve the accuracy of automated probabilistic link creation between lowcode system components in the graphbased repository The deliverable will also present a component which can be connected to different LCDPs for providing a generic data model for representing possibly probabilistic runtime models This component will be evaluated for the mining of interaction models in LCDPs as well as representing runtime models for aligning and improving design models based on operational data

Lowcomotive Integrations - Interim Version

This deliverable will produce a prototype supporting the creation of apps based on DSLs with geo-information (i.e., to locate model elements on a map), and gathering information from Open APIs. The deliverable will also introduce the first results of the integrations for IoT for Smart Cities and Knowledge models.

Concepts for Multi-Paradigm Distributed Transformation

This deliverable will present the main concepts for scalable model transformations executed over a Cloud-based infrastructure. It will cover a metamodelisation of the space of programming models for distributed data processing. A particular attention will be given to live transformations which are executed in reaction to changes in the environment. Moreover, the underpinning for the composition of transformations like goal, composition operators, and the properties to be maintained during and after the execution of model transformations will be defined and reported

Low-Code Engineering Repository Architecture Specification

This deliverable will report on the architecture specification and evaluation of the Lowcomotive repository. The repository will be developed as software-as-a-service in order to enable its remote adoption and integration with existing systems. To this end appropriate APIs will be designed and developed.

Scalable Low-Code Artefact Persistence and Query - Interim Version

This deliverable will report on a classification of common computationally-expensive model queries (e.g. filter all elements of a particular type by certain features), and on capabilities that can be leveraged to optimise them (e.g. indexes). The deliverable will report on novel static analysis techniques for low-code model management programs that will enable intelligent model partitioning.

Cloud-Based Low-Code Engineering Editor - Interim Version

This deliverable will provide a prototype of the Cloud-based low-code engineering editor, with unified support of heterogeneus technologies. The deliverable will also include a prototype of the recommender backend.

Second Training Progress Report

Report on training activities during the second year of ESRs

First Training Progress Report

Report on training activities during the first year of ESRs

Concepts for Testing in Low-Code Engineering Repositories

The report will cover the requirements to write and configure low-code tests, the specification of the model transformations generating executable test, the consideration of the distribution of low-code artefacts (in particular software and data) on the Cloud. The deliverable will also define how low-code testing integrates in a process for DevOps in low-code engineering.

Multi-Paradigm Distributed Transformation Engine

This deliverable will present the algorithms and the tools supporting scalable model transformation over the Cloud It will include 1 a multiparadigm translator for a model transformation language to different distributed programming models 2 a native live transformation engine based upon distributed incremental model queries and 3 a transformation composition engine that automatic selects from the repository the model transformations to compose for achieving the needed manipulation and orchestrates the transformation chain

Low-Code Engineering Repository

The deliverable will provide the final version of the lowcode engineering repository This will include federation mechanisms that will enable seamlessly aggregation of modelling artefacts with respect to specific access and licensing policies

Scalable Low-Code Artefact Persistence and Query - Final Version

This deliverable will report on the design implementation and performance evaluation of an opensource prototype lowcode model query optimiser and on the design and performance evaluation of a prototype that can perform runtime partitioning of large lowcode models based on information collected through static analysis

Network Web Presence

A public website describing the network objectives, approach, participants involved and expected results. Later updates will include announcements of workshops and conferences, downloadable papers and articles and the public deliverables from the project. The website will be updated by all members of the network (particularly ESRs). Accounts on social media such as YouTube, Facebook and Twitter

Pubblicazioni

Contribution to the analysis of the design-space of a distributed transformation engine

Autori: Philippe, Jolan
Pubblicato in: Numero Once a life, 2022
Editore: MathSTIC Doctoral School
DOI: 10.5281/zenodo.8192984

Cloud-Based Low-Code Model Transformations Composition and Execution

Autori: Apurvanand Sahay
Pubblicato in: Numero Once a life, 2023
Editore: UNIVERSITÀ DEGLI STUDI DELL'AQUILA
DOI: 10.5281/zenodo.8194655

A testing framework for executable domain-specific languages

Autori: Khorram, Faezeh
Pubblicato in: Numero Once a life, 2022
Editore: MAthSTIC Doctoral School
DOI: 10.5281/zenodo.8195446

Scalable and Extensible Cloud-Based Low-Code Model Repository

Autori: Indamutsa, Arsene
Pubblicato in: Numero Once a life, 2023
Editore: UNIVERSITÀ DEGLI STUDI DELL'AQUILA
DOI: 10.5281/zenodo.8193759

Intelligent run-time partitioning of low-code system models

Autori: Sorour Jahanbin, Dimitris Kolovos, Simos Gerasimou
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-5, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420198

Towards Continuous Consistency Checking of DevOps Artefacts

Autori: Alessandro Colantoni Benedek Horváth Ákos Horváth Luca Berardinelli Manuel Wimmer
Pubblicato in: 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero yearly, 2021, Pagina/e 449-453, ISBN 978-1-6654-2484-4
Editore: IEEE
DOI: 10.1109/models-c53483.2021.00069

Supporting the understanding and comparison of low-code development platforms

Autori: Apurvanand Sahay, Arsene Indamutsa, Davide Di Ruscio, Alfonso Pierantonio
Pubblicato in: 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Numero Yearly, 2020, Pagina/e 171-178, ISBN 978-1-7281-9532-2
Editore: IEEE
DOI: 10.1109/SEAA51224.2020.00036

Model Slicing on Low-code Platforms

Autori: Ilirian Ibrahimi; Dimitris Moudilos
Pubblicato in: STAF 2022 Workshop Proceedings: 2nd International Workshop on Foundations and Practice of Visual Modeling (FPVM 2022), Numero yearly, 2022
Editore: CEUR
DOI: 10.5281/zenodo.8160946

A Model-Driven Engineering Approach for Monitoring Machine Learning Models

Autori: Panagiotis Kourouklidis Dimitris Kolovos Joost Noppen Nicholas Matragkas
Pubblicato in: 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero yearly, 2021, Pagina/e 160-164, ISBN 978-1-6654-2484-4
Editore: IEEE
DOI: 10.1109/models-c53483.2021.00028

Towards Model Reuse in Low-Code Development Platforms Based on Knowledge Graphs

Autori: Ilirian Ibrahimi; Dimitris Moudilos
Pubblicato in: MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero yearly, 2022, Pagina/e 826–836
Editore: Association for Computing Machinery
DOI: 10.1145/3550356.3561570

Towards a low-code solution for monitoring machine learning model performance

Autori: Panagiotis Kourouklidis, Dimitris Kolovos, Nicholas Matragkas, Joost Noppen
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-8, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420196

Towards Scalable Validation of Low-Code System Models: Mapping EVL to VIATRA Patterns

Autori: Qurat Ul Ain Ali Benedek Horváth Dimitris Kolovos Konstantinos Barmpis Ákos Horváth
Pubblicato in: 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero yearly, 2021, Pagina/e 83-87, ISBN 978-1-6654-2484-4
Editore: IEEE
DOI: 10.1109/models-c53483.2021.00019

Leveraging Model-Driven Technologies for JSON Artefacts: The Shipyard Case Study

Autori: Alessandro Colantoni Antonio Garmendia Luca Berardinelli Manuel Wimmer Johannes Bräuer
Pubblicato in: 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS), Numero yearly, 2021, Pagina/e 250-260, ISBN 978-1-6654-3495-9
Editore: IEEE
DOI: 10.1109/models50736.2021.00033

Low-code engineering for internet of things - a state of research

Autori: Felicien Ihirwe, Davide Di Ruscio, Silvia Mazzini, Pierluigi Pierini, Alfonso Pierantonio
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-8, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420208

Lowcomote: Training the Next Generation of Experts in Scalable Low-Code Engineering Platforms

Autori: Massimo Tisi; Jean-Marie Mottu,; Dimitrios Kolovos; Juan de Lara; Esther Guerra; Davide Di Ruscio; Alfonso Pierantonio; Manuel Wimmer
Pubblicato in: STAF 2019 Co-Located Events Joint Proceedings: 1st Junior Researcher Community Event, 2nd International Workshop on Model-Driven Engineering for Design-Runtime Interaction in Complex Systems, and 1st Research Project Showcase Workshop co-located with Software Technologies: Applications and Foundations (STAF 2019), Numero Yearly, 2019, Pagina/e 6
Editore: http://ceur-ws.org
DOI: 10.5281/zenodo.4314656

Assessing the Quality of Low-Code and Model-Driven Engineering Platforms for Engineering IoT Systems

Autori: Felicien Ihirwe Davide Di Ruscio Simone Gianfranceschi Alfonso Pierantonio
Pubblicato in: 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS), Numero yearly, 2022, Pagina/e 583-594
Editore: IEEE
DOI: 10.1109/qrs57517.2022.00065

Towards the next generation of reactive model transformations on low-code platforms - three research lines

Autori: Benedek Horváth, Ákos Horváth, Manuel Wimmer
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-10, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420199

From Coverage Computation to Fault Localization: A Generic Framework for Domain-Specific Languages

Autori: Khorram, Faezeh; Bousse, Erwan; Garmendia, Antonio; Mottu, Jean-Marie; Sunyé, Gerson; Wimmer, Manuel
Pubblicato in: "15th ACM SIGPLAN International Conference on Software Language Engineering (SLE 2022), Dec 2022, Auckland, New Zealand. ⟨10.1145/3567512.3567532⟩", Numero yearly, 2022, Pagina/e 235–248, ISBN 9781450399197
Editore: Association for Computing Machinery
DOI: 10.1145/3567512.3567532

Towards automating the construction of recommender systems for low-code development platforms

Autori: Lissette Almonte, Iván Cantador, Esther Guerra, Juan de Lara
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-10, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420200

Efficient Model Loading through Static Analysis

Autori: Sorour Jahanbin
Pubblicato in: 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero yearly, 2021, Pagina/e 660-665
Editore: IEEE
DOI: 10.1109/models-c53483.2021.00106

Model checking as a service - towards pragmatic hidden formal methods

Autori: Benedek Horváth, Bence Graics, Ákos Hajdu, Zoltán Micskei, Vince Molnár, István Ráth, Luigi Andolfato, Ivan Gomes, Robert Karban
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-5, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3421407

DevOpsML - towards modeling DevOps processes and platforms

Autori: Alessandro Colantoni, Luca Berardinelli, Manuel Wimmer
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-10, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420203

Towards an MQTT5 geo-location extension for location-aware applications

Autori: Felicien Ihirwe Giovanni Iovino Davide Di Ruscio
Pubblicato in: 44th International Conference on Telecommunications and Signal Processing (TSP'21), Numero yearly, 2021, ISBN 978-1-6654-2933-7
Editore: IEEE
DOI: 10.1109/tsp52935.2021.9522590

Towards access control for collaborative modelling apps

Autori: Léa Brunschwig, Esther Guerra, Juan de Lara
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-10, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420201

Cloud-based modeling in IoT domain: a survey, open challenges and opportunities

Autori: Felicien Ihirwe Arsene Indamutsa Davide Di Ruscio Silvia Mazzini Alfonso Pierantonio
Pubblicato in: 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero yearly, 2021, Pagina/e 73-82
Editore: IEEE
DOI: 10.1109/models-c53483.2021.00018

Automating the synthesis of recommender systems for modelling languages

Autori: Lissette Almonte, Sara Pérez-Soler, Esther Guerra, Iván Cantador, Juan de Lara
Pubblicato in: SLE 2021: Proceedings of the 14th ACM SIGPLAN International Conference on Software Language Engineering, 2021, Pagina/e 22-35
Editore: ACM
DOI: 10.1145/3486608.3486905

Towards a modeling and analysis environment for industrial IoT systems

Autori: Felicien Ihirwe; Di Ruscio, D.; Mazzini, S.; Pierantonio, A.
Pubblicato in: STAF 2021 Workshop Proceedings: International workshop on MDE for Smart IoT System co-located with Software Technologies: Applications and Foundations, Federation of Conferences (STAF 2021), Numero yearly, 2021, Pagina/e 90-104, ISSN 1613-0073
Editore: CEUR
DOI: 10.5281/zenodo.5639665

Towards transparent combination of model management execution strategies for low-code development platforms

Autori: Jolan Philippe, Héléne Coullon, Massimo Tisi, Gerson Sunyé
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-10, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420206

MDEForgeWL: Towards cloud-based discovery and composition of model management services

Autori: Arsene Indamutsa Juri Di Rocco Davide Di Ruscio Alfonso Pierantonio
Pubblicato in: 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero yearly, 2021, ISBN 978-1-6654-2484-4
Editore: IEEE
DOI: 10.1109/models-c53483.2021.00023

Understanding the role of model transformation compositions in low-code development platforms

Autori: Apurvanand Sahay, Davide Di Ruscio, Alfonso Pierantonio
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-5, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420197

Automated migration of EuGENia graphical editors to the web

Autori: Fatima Rani, Pablo Diez, Enrique Chavarriaga, Esther Guerra, Juan de Lara
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-7, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420205

Heterogeneous Model Query Optimisation

Autori: Qurat Ul Ain Ali
Pubblicato in: 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero yearly, 2021, ISBN 978-1-6654-2484-4
Editore: IEEE
DOI: 10.1109/models-c53483.2021.00104

A domain-specific modeling and analysis environment for complex IoT applications

Autori: Felicien Ihirwe Davide Di Ruscio Silvia Mazzini Alfonso Pierantonio
Pubblicato in: 7th Italian Conference on ICT for Smart Cities And Communities (I-CiTies'21) , Numero yearly, 2021
Editore: University of Salerno
DOI: 10.48550/arxiv.2109.09244

Towards Domain-Specific Modelling Environments Based on Augmented Reality

Autori: Léa Brunschwig; Rubén Campos-López; Esther Guerra; Juan de Lara
Pubblicato in: 2021 IEEE/ACM 43rd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), 2021, Pagina/e 56-60
Editore: IEEE
DOI: 10.1109/icse-nier52604.2021.00020

Partial Loading of Repository-Based Models through Static Analysis

Autori: Sorour Jahanbin Dimitris Kolovos Simos Gerasimou Gerson Sunyé
Pubblicato in: SLE 2022: Proceedings of the 15th ACM SIGPLAN International Conference on Software Language Engineering, Numero yearly, 2022, Pagina/e 266–278
Editore: ACM
DOI: 10.1145/3567512.3567535

Towards blended modeling and simulation of DevOps processes: the Keptn case study

Autori: Alessandro Colantoni Luca Berardinelli Antonio Garmendia Johannes Bräuer
Pubblicato in: MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero yearly, 2022, Pagina/e 784–792
Editore: ACM
DOI: 10.1145/3550356.3561597

A Low-Code Development Environment to Orchestrate Model Management Services.

Autori: Arsene Indamutsa; Davide Di Ruscio; Alfonso Pierantonio
Pubblicato in: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, Numero yearly, 2021, ISBN 9783030858735
Editore: Springer
DOI: 10.1007/978-3-030-85874-2_36

Selective Traceability for Rule-Based Model-to-Model Transformations

Autori: Qurat ul ain Ali Dimitris Kolovos Konstantinos Barmpis
Pubblicato in: SLE 2022: Proceedings of the 15th ACM SIGPLAN International Conference on Software Language Engineering, Numero yearly, 2022, Pagina/e 98–109
Editore: ACM
DOI: 10.1145/3567512.3567521

Executing Certified Model Transformations on Apache Spark

Autori: Jolan Philippe Massimo Tisi Hélène Coullon Gerson Sunyé
Pubblicato in: SLE 2021: Proceedings of the 14th ACM SIGPLAN International Conference on Software Language Engineering, Numero yearly, 2021, Pagina/e 36–48
Editore: ACM
DOI: 10.1145/3486608.3486901

Identification and Optimisation of Type-Level Model Queries

Autori: Ali, Qurat Ul Ain; Kolovos, Dimitris; Barmpis, Konstantinos
Pubblicato in: ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion proceedings (MODELS-C), Numero yearly, 2021, Pagina/e 751-760
Editore: Association for Computing Machinery
DOI: 10.1109/models-c53483.2021.00121

Model-based Analysis Support for Dependable Complex Systems in CHESS

Autori: Alberto Debiasi; Felicien Ihirwe; Pierluigi Pierini; Silvia Mazzini; Stefano Tonetta
Pubblicato in: Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development MODELSWARD - Volume 1, Numero yearly, 2021, Pagina/e 262-269, ISSN 2184-4348
Editore: SciTePress
DOI: 10.48550/arxiv.2009.06089

Automatic Test Amplification for Executable Models

Autori: Faezeh Khorram; Erwan Bousse; Jean-Marie Mottu; Gerson Sunyé; Pablo Gómez-Abajo; Pablo C. Cañizares; Esther Guerra; Juan de Lara
Pubblicato in: "ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS ’22), Oct 2022, Montreal, Canada. ⟨10.1145/3550355.3552451⟩", Numero yearly, 2022, Pagina/e 109–120, ISBN 9781450394666
Editore: Association for Computing Machinery
DOI: 10.1145/3550355.3552451

Efficiently querying large-scale heterogeneous models

Autori: Qurat ul ain Ali, Dimitris Kolovos, Konstantinos Barmpis
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-5, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420207

Building recommenders for modelling languages with Droid

Autori: Lissette Almonte, Esther Guerra, Iván Cantador, Juan de Lara
Pubblicato in: ASE '22: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022, Pagina/e 1-4
Editore: ACM
DOI: 10.1145/3551349.3559521

Challenges & opportunities in low-code testing

Autori: Faezeh Khorram, Jean-Marie Mottu, Gerson Sunyé
Pubblicato in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Numero Yearly, 2020, Pagina/e 1-10, ISBN 9781450381352
Editore: ACM
DOI: 10.1145/3417990.3420204

Analyzing business process management capabilities of low-code development platforms

Autori: Apurvanand Sahay Davide Di Ruscio Ludovico Iovino Alfonso Pierantonio
Pubblicato in: Software Practice and Experience, Numero 53(4), 2022, Pagina/e 1036– 1060, ISSN 1097-024X
Editore: John Wiley & Sons Ltd
DOI: 10.1002/spe.3177

Advanced Testing and Debugging Support for Reactive Executable DSLs

Autori: Khorram, Faezeh; Bousse, Erwan; Mottu, Jean-Marie; Sunyé, Gerson
Pubblicato in: Software and Systems Modeling, Numero 22, 2023, Pagina/e 819–845, ISSN 1619-1366
Editore: Springer Verlag
DOI: 10.1007/s10270-022-01025-w

Low-code development and model-driven engineering: Two sides of the same coin?

Autori: Davide Di Ruscio; Dimitris Kolovos; Juan de Lara; Alfonso Pierantonio; Massimo Tisi; Manuel Wimmer
Pubblicato in: Software and Systems Modeling, Numero 21, 2022, Pagina/e 437–446, ISSN 1619-1366
Editore: Springer Verlag
DOI: 10.1007/s10270-021-00970-2

Recommender systems in model-driven engineering

Autori: Lissette Almonte, Esther Guerra, Iván Cantador, Juan de Lara
Pubblicato in: Software and Systems Modeling, Numero 21, 2022, Pagina/e 249-280, ISSN 1619-1374
Editore: Springer
DOI: 10.1007/s10270-021-00905-x

Dandelion: A scalable, cloud-based graphical language workbench for industrial low-code development

Autori: Francisco Martínez-Lasaca, Pablo Díez, Esther Guerra, Juan de Lara
Pubblicato in: Journal of Computer Languages, Numero 76, 2023, Pagina/e 101217, ISSN 2590-1184
Editore: Elsevier
DOI: 10.1016/j.cola.2023.101217

Adapting TDL to Provide Testing Support for Executable DSLs.

Autori: Faezeh Khorram; Erwan Bousse; Jean-Marie Mottu; Gerson Sunyé
Pubblicato in: The Journal of Object Technology, Numero Volume 20, no. 3, 2021, Pagina/e 6:1-15, ISSN 1660-1769
Editore: EtH Zurich
DOI: 10.5381/jot.2021.20.3.a6

Pragmatic verification and validation of industrial executable SysML models

Autori: Benedek Horváth; Vince Molnár; Bence Graics; Ákos Hajdu; István Ráth; Ákos Horváth; Robert Karban; Gelys Trancho; Zoltán Micskei
Pubblicato in: Systems Engineering, Numero 26, 2023, Pagina/e 693-714, ISSN 1520-6858
Editore: Wiley Periodicals
DOI: 10.1002/sys.21679

Modelling on mobile devices

Autori: Léa Brunschwig, Esther Guerra, Juan de Lara
Pubblicato in: Software and Systems Modeling, Numero 21, 2022, Pagina/e 179-205, ISSN 1619-1374
Editore: Springer
DOI: 10.1007/s10270-021-00897-8

Risultati finali

Pubblicazioni

Condividi questa pagina

Scarica