Evaluation of XIS-Mobile, a Domain Specific Language for Mobile Application Development

Ribeiro, A. M. R.; Silva, Alberto Rodrigues da

doi:10.4236/jsea.2014.711081

Cited by 25 publications

(18 citation statements)

References 11 publications

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“…The proposed survey on MDE is the result of our research experience in the area throughout this last decade, during which we have designed and developed several modeling languages, tools and real-world applications following the MDE approach [69,70,60,72,58,58,59]. The unified conceptual model proposed in this paper might help others to have a broad vision and a better understanding of MDE and its key concepts and terminology.…”

Section: Resultsmentioning

confidence: 97%

“…Composed of four major components, this framework suggests developing a mobile application in four steps whenever possible: defining of the required views using the Visual Editor, validating them using the Model Validator, generating the User-Interfaces View models with the Model Generator, and finally generating the application's source code through the Code Generator. This way the developer takes advantage of the MDD benefits, namely increasing his productivity by using a single specification of the system, by avoiding the implementation of boilerplate code and reducing errors ( [58,59]). …”

Section: Concrete-level Approaches (Md Tools)mentioning

confidence: 99%

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Model-driven engineering: A survey supported by the unified conceptual model

Silva

2015

Computer Languages, Systems & Structures

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214

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Keywords:Model Metamodel Modeling language Software system Model-driven engineering Model-driven approaches a b s t r a c t During the last decade a new trend of approaches has emerged, which considers models not just documentation artefacts, but also central artefacts in the software engineering field, allowing the creation or automatic execution of software systems starting from those models. These proposals have been classified generically as Model-Driven Engineering (MDE) and share common concepts and terms that need to be abstracted, discussed and understood. This paper presents a survey on MDE based on a unified conceptual model that clearly identifies and relates these essential concepts, namely the concepts of system, model, metamodel, modeling language, transformations, software platform, and software product. In addition, this paper discusses the terminologies relating MDE, MDD, MDA and others. This survey is based on earlier work, however, contrary to those, it intends to give a simple, broader and integrated view of the essential concepts and respective terminology commonly involved in the MDE, answering to key questions such as: What is a model? What is the relation between a model and a metamodel? What are the key facets of a modeling language? How can I use models in the context of a software development process? What are the relations between models and source code artefacts and software platforms? and What are the relations between MDE, MDD, MDA and other MD approaches?

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Section: Resultsmentioning

confidence: 97%

Section: Concrete-level Approaches (Md Tools)mentioning

confidence: 99%

Model-driven engineering: A survey supported by the unified conceptual model

Silva

2015

Computer Languages, Systems & Structures

Self Cite

214

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“…The focus of this research was a small sub component of a final app rather than creating a fully working app. In recent work Ribeiro et al [6] use a UML based approach to generate mobile apps. The authors describe a multi-stage MDD approach to app development that can generate a lot of boilerplate code for multiple platforms.…”

Section: Introductionmentioning

confidence: 99%

Bootstrapping Mobile App Development

Barnett

Vasa

Grundy

2015

2015 IEEE/ACM 37th IEEE International Conference on Software Engineering

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Modern IDEs provide limited support for developers when starting a new data-driven mobile app. App developers are currently required to write copious amounts of boilerplate code, scripts, organise complex directories, and author actual functionality. Although this scenario is ripe for automation, current tools are yet to address it adequately. In this paper we present RAPPT, a tool that generates the scaffolding of a mobile app based on a high level description specified in a Domain Specific Language (DSL). We demonstrate the feasibility of our approach by an example case study and feedback from a professional development team. Demo at: https://www.youtube.com/watch?v=ffquVgBYpLM 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 978-1-4799-1934-5/15 $31.00

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“…In order to produce the artefacts needed for a certain use case specific converters can be developed. If, for example, data entry forms for capturing information with a mobile application are needed, they can be built on basis of the ODMs by an automatic procedure that utilizes the information contained in the domain models [31]. …”

Section: Resultsmentioning

confidence: 99%

Open data models for smart health interconnected applications: the example of openEHR

Demski

Garde²,

Hildebrand

2016

BMC Med Inform Decis Mak

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BackgroundSmart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework for providing interoperable data services that support the development of innovative Smart Health applications profiting from data fusion and sharing.MethodsThis article describes a model-driven engineering approach based on standardized clinical information models and explores its application for the development of interoperable electronic health record systems. The following possible model-driven procedures were considered: provision of data schemes for data exchange, automated generation of artefacts for application development and native platforms that directly execute the models. The applicability of the approach in practice was examined using the openEHR framework as an example.ResultsA comprehensive infrastructure for model-driven engineering of electronic health records is presented using the example of the openEHR framework. It is shown that data schema definitions to be used in common practice software development processes can be derived from domain models. The capabilities for automatic creation of implementation artefacts (e.g., data entry forms) are demonstrated. Complementary programming libraries and frameworks that foster the use of open data models are introduced. Several compatible health data platforms are listed. They provide standard based interfaces for interconnecting with further applications.ConclusionOpen data models help build a framework for interoperable data services that support the development of innovative Smart Health applications. Related tools for model-driven application development foster semantic interoperability and interconnected innovative applications.

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Evaluation of XIS-Mobile, a Domain Specific Language for Mobile Application Development

Cited by 25 publications

References 11 publications

Model-driven engineering: A survey supported by the unified conceptual model

Model-driven engineering: A survey supported by the unified conceptual model

Bootstrapping Mobile App Development

Open data models for smart health interconnected applications: the example of openEHR

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