Code Generation Approach for Mobile Application Using Acceleo

Benouda, Hanane; Azizi, Mostafa; Esbai, Redouane; Moussaoui, Mohammed Amine

doi:10.15866/irecos.v11i2.8480

Cited by 10 publications

(4 citation statements)

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“…The MDE approach proposed by [Damo et al 2019, Cruz 2021] is composed of the following components: (i) domain-specific languages to represent each level of abstraction of the system; (ii) four sets of model transformations to ensure automatic integration between the models; (iii) two sets of code generators; and (iv) two sets of model generators. The entire infrastructure was developed in the Eclipse environment, using the Eclipse Modeling Framework (EMF) [Steinberg et al 2008] for metamodeling, the QVTo framework [Foundation 2023b] for performing model transformations, the Acceleo engine [Foundation 2023a] for code generation, and the Antlr framework [Parr 2023] for obtaining models from source code.…”

Section: Mde Approachmentioning

confidence: 99%

A review on the infrastructure and tool support for Model-Driven Engineering in the automation of the petrochemical industry

Correia,

Becker,

Basso

2023

Anais Do v Workshop Em Modelagem E Simulação De Sistemas Intensivos Em Software (MSSiS 2023)

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Automation is a fundamental part of the oil industry, responsible for ensuring productivity and process safety. The application of control systems is carried out through different software applications, which are often unable to exchange data (models) within each other. This is a significant limitation for the overall design process. To address this issue, the use of the Model-Driven Engineering for Petrochemical Industry Automation (M4PIA) platform is proposed. M4PIA is capable of accommodating the software applications Automated Procedures Module (MPA) and Environment for Modeling, Simulation, and Operation (EMSO), both of which are used by the Brazilian state-owned company Petrobras.

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Section: Mde Approachmentioning

confidence: 99%

A review on the infrastructure and tool support for Model-Driven Engineering in the automation of the petrochemical industry

Correia,

Becker,

Basso

2023

Anais Do v Workshop Em Modelagem E Simulação De Sistemas Intensivos Em Software (MSSiS 2023)

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“…M2T transformations are typically used to implement code and documentation generators, model serialization, and model visualization [237]. Among the frameworks and languages to deine M2T transformations, we can ind Acceleo [170], EGL [238], MOFScript [233] and Xtend [172]. T2M transformations are typically used for reverse engineering [134], e.g., transforming legacy applications to models for model-driven software modernization.…”

Section: Model Transformationsmentioning

confidence: 99%

Model Transformation Testing and Debugging: A Survey

et al. 2022

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Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness of model transformations, and thus, detecting and locating bugs in model transformations have been popular research topics in recent years. This surge of work has led to a vast literature on model transformation testing and debugging, which makes it challenging to gain a comprehensive view of the current state of the art. This is an obstacle for newcomers to this topic and MDE practitioners to apply these approaches. This paper presents a survey on testing and debugging model transformations based on the analysis of 140 papers on the topics. We explore the trends, advances, and evolution over the years, bringing together previously disparate streams of work and providing a comprehensive view of these thriving areas. In addition, we present a conceptual framework to understand and categorise the different proposals. Finally, we identify several open research challenges and propose specific action points for the model transformation community.

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“…The authors in (Benouda et al, 2016a;2016b) proposed an approach based on model engineering, that aims to generate graphical user interfaces of Android applications. To do this the authors used the class diagram to define the PIM, the QVT (Query/View/Transformation) to realize various transformations on the PSM-Android and Acceleo for code generation.…”

Section: Related Workmentioning

confidence: 99%

“…In fact, this language of hybrid transformation is both declarative and imperative, which makes it more expressive and gives it the possibility to express any kind of transformations. As for ATL performance in most cases it runs faster than QVT (Adopted in some works such as (Benouda et al, 2016a;2016b) due to two main reasons; the first: It is easier to reduce the matching with the WHERE clause in the rules; the second one: Due to the fact that ATL is compiled and executed on a virtual machine. ATL makes it possible to carry out transformations between the source and target models, by means of a set of correspondence or mapping rules written in this language.…”

Section: Generation Of Dal Bol and DL Layersmentioning

confidence: 99%

Pragmatic Approach to Modeling and Generating Mobile Cross-Platform Applications

Lachgar¹,

Lamhaddab²,

Abdali³

et al. 2019

Journal of Computer Science

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As a result of the ubiquity of smartphones, the number of mobile applications is extensively growing. In order to build native apps that reach all devices, developers should deal with many different operating systems, SDKs, development tools and programming languages, which implies serious effects on cost, time and success of the mobile project. In this study, the main objective is to propose a pragmatic approach for modeling and generating native cross-platform mobile applications, respecting a multilayer architecture. The proposed approach is an MDA based technique which combines UML formals and DSL. The paper is illustrated with the modeling of a typical CRUD based app.

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Code Generation Approach for Mobile Application Using Acceleo

Cited by 10 publications

References 0 publications

A review on the infrastructure and tool support for Model-Driven Engineering in the automation of the petrochemical industry

A review on the infrastructure and tool support for Model-Driven Engineering in the automation of the petrochemical industry

Model Transformation Testing and Debugging: A Survey

Pragmatic Approach to Modeling and Generating Mobile Cross-Platform Applications

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