research-article

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

Authors:

Apurvanand Sahay,

Davide Di Ruscio,

Alfonso PierantonioAuthors Info & Claims

MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Article No.: 63, Pages 1 - 5

https://doi.org/10.1145/3417990.3420197

Published: 26 October 2020 Publication History

Abstract

Low-code development platforms (LCDPs) permit developers that do not have strong programming experience to produce complex software systems. Visual environments permit to specify workflows consisting of sequential or parallel executions of services that are directly available in the considered LCDP or are provided by external entities. Specifying workflows involving different LCDPs and services can be a difficult task. In this paper, we propose the adoption of concepts and tools related to the composition of model transformations to support the specification of complex workflows in LCDPs. We elaborate on how LCDPs services can be considered as model transformations and thus, workflows of services can be considered as model transformation compositions. The architecture of the environment supporting the proposed solution is presented.

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Cited By

Guresci ETekinerdogan BBabur ÖLiu Q(2024)Feasibility of Low-Code Development Platforms in Precision Agriculture: Opportunities, Challenges, and Future DirectionsLand10.3390/land1311175813:11(1758)Online publication date: 25-Oct-2024
https://doi.org/10.3390/land13111758
Käss SStrahringer SWestner M(2023)A Multiple Mini Case Study on the Adoption of Low Code Development Platforms in Work SystemsIEEE Access10.1109/ACCESS.2023.332509211(118762-118786)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3325092
Käss SStrahringer SWestner M(2023)Practitioners’ Perceptions on the Adoption of Low Code Development PlatformsIEEE Access10.1109/ACCESS.2023.325853911(29009-29034)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3258539
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Index Terms

Understanding the role of model transformation compositions in low-code development platforms
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Abstraction, modeling and modularity
      2. Software system models
        Model-driven software engineering

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Published In

cover image ACM Conferences

MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

October 2020

713 pages

ISBN:9781450381352

DOI:10.1145/3417990

Conference Chairs:
Esther Guerra
Universidad Autonoma de Madrid, Spain
,
Ludovico Iovino
Gran Sasso Science Institute, Italy

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 October 2020

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MODELS '20

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SIGSOFT

MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems

October 16 - 23, 2020

Virtual Event, Canada

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Overall Acceptance Rate 144 of 506 submissions, 28%

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Cited By

Guresci ETekinerdogan BBabur ÖLiu Q(2024)Feasibility of Low-Code Development Platforms in Precision Agriculture: Opportunities, Challenges, and Future DirectionsLand10.3390/land1311175813:11(1758)Online publication date: 25-Oct-2024
https://doi.org/10.3390/land13111758
Käss SStrahringer SWestner M(2023)A Multiple Mini Case Study on the Adoption of Low Code Development Platforms in Work SystemsIEEE Access10.1109/ACCESS.2023.332509211(118762-118786)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3325092
Käss SStrahringer SWestner M(2023)Practitioners’ Perceptions on the Adoption of Low Code Development PlatformsIEEE Access10.1109/ACCESS.2023.325853911(29009-29034)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3258539
Phalake VJoshi SRade KPhalke VMolawade M(2023)Optimization for achieving sustainability in low code development platformInternational Journal on Interactive Design and Manufacturing (IJIDeM)10.1007/s12008-023-01338-018:8(5717-5724)Online publication date: 21-Apr-2023
https://doi.org/10.1007/s12008-023-01338-0
Oteyo IScull Pupo AZaman JKimani SDe Meuter WGonzalez Boix E(2023)Easing Construction of Smart Agriculture Applications Using Low Code Development ToolsMobile and Ubiquitous Systems: Computing, Networking and Services10.1007/978-3-031-34776-4_2(21-43)Online publication date: 27-Jun-2023
https://doi.org/10.1007/978-3-031-34776-4_2
Kass SStrahringer SWestner M(2022)Drivers and Inhibitors of Low Code Development Platform Adoption2022 IEEE 24th Conference on Business Informatics (CBI)10.1109/CBI54897.2022.00028(196-205)Online publication date: Jun-2022
https://doi.org/10.1109/CBI54897.2022.00028
Phalake VJoshi SRade KPhalke V(2022)Modernized Application Development Using Optimized Low Code Platform2022 2nd Asian Conference on Innovation in Technology (ASIANCON)10.1109/ASIANCON55314.2022.9908726(1-4)Online publication date: 26-Aug-2022
https://doi.org/10.1109/ASIANCON55314.2022.9908726
Oteyo IPupo AZaman JKimani SDe Meuter WBoix E(2021)Building Smart Agriculture Applications Using Low-Code Tools: The Case for DisCoPar2021 IEEE AFRICON10.1109/AFRICON51333.2021.9570936(1-6)Online publication date: 13-Sep-2021
https://doi.org/10.1109/AFRICON51333.2021.9570936

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