loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Gábor Paller 1 ; Endri Bezati 2 ; Nebojša Taušan 1 ; Gábor Farkas 1 and Gábor Élő 1

Affiliations: 1 Széchenyi István University, Information Society Research & Education Group, Egyetem tér 1. Győr and Hungary ; 2 streamgenomics Sarl, EPFL Innovation Park, Bâtiment C, Lausanne and Switzerland

Keyword(s): Dataflow, Code Generator, IoT, Eclipse, IDE, Orcc.

Related Ontology Subjects/Areas/Topics: Applications and Software Development ; Domain-Specific Modeling and Domain-Specific Languages ; Frameworks for Model-Driven Development ; Languages, Tools and Architectures ; Methodologies, Processes and Platforms ; Model Execution and Simulation ; Model-Driven Software Development ; Models ; Paradigm Trends ; Software Engineering

Abstract: The latest wave of connected digital systems, nowadays called Internet of Things (IoT) promises various gains, especially in terms of significant ease of data access. A large number of different platforms for IoT applications, however, makes their development difficult and time-consuming leading to projects that are failed to be on time, on budget or fully completed. To address the platform heterogeneity, this paper presents the ongoing work on development environment called Orcc-IoT. Orcc-IoT facilitates the development of IoT by combining dataflow modelling language, heterogeneous code generator and the library of ready-made IoT actors. The utilisation of Orcc-IoT in development is expected to increase the quality, and to reduce the development costs and time-to-market of IoT applications.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.59.122.162

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Paller, G.; Bezati, E.; Taušan, N.; Farkas, G. and Élő, G. (2019). Dataflow-based Heterogeneous Code Generator for IoT Applications. In Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-758-358-2; ISSN 2184-4348, SciTePress, pages 428-434. DOI: 10.5220/0007496804280434

@conference{modelsward19,
author={Gábor Paller. and Endri Bezati. and Nebojša Taušan. and Gábor Farkas. and Gábor Élő.},
title={Dataflow-based Heterogeneous Code Generator for IoT Applications},
booktitle={Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2019},
pages={428-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007496804280434},
isbn={978-989-758-358-2},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - Dataflow-based Heterogeneous Code Generator for IoT Applications
SN - 978-989-758-358-2
IS - 2184-4348
AU - Paller, G.
AU - Bezati, E.
AU - Taušan, N.
AU - Farkas, G.
AU - Élő, G.
PY - 2019
SP - 428
EP - 434
DO - 10.5220/0007496804280434
PB - SciTePress