scholarly journals ALBA: a model-driven framework for the automatic generation of android location-based apps

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Mohammadali Gharaat ◽  
Mohammadreza Sharbaf ◽  
Bahman Zamani ◽  
Abdelwahab Hamou-Lhadj
Keyword(s):  
Automatic Generation ◽  
Model Driven

scholarly journals Learn-CIAM: A Model-Driven Approach for the Development of Collaborative Learning Tools

2021 ◽  
Vol 11 (6) ◽  
pp. 2554
Author(s):  
Yoel Arroyo ◽  
Ana I. Molina ◽  
Miguel A. Redondo ◽  
Jesús Gallardo
Keyword(s):  
Collaborative Learning ◽  
Methodological Approach ◽  
Automatic Generation ◽  
Learning Activities ◽  
Learning Tools ◽  
Model Driven ◽  
Collaborative Tools ◽  
Learning Tasks ◽  
Collaborative Learning Tools ◽  
Model Driven Approach

This paper introduces Learn-CIAM, a new model-based methodological approach for the design of flows and for the semi-automatic generation of tools in order to support collaborative learning tasks. The main objective of this work is to help professors by establishing a series of steps for the specification of their learning courses and the obtaining of collaborative tools to support certain learning activities (in particular, for in-group editing, searching and modeling). This paper presents a complete methodological framework, how it is supported conceptually and technologically, and an application example. So to guarantee the validity of the proposal, we also present some validation processes with potential designers and users from different profiles such as Education and Computer Science. The results seem to demonstrate a positive reception and acceptance, concluding that its application would facilitate the design of learning courses and the generation of collaborative learning tools for professionals of both profiles.

scholarly journals Generating Collaborative Systems for Digital Libraries: a Model-Driven Approach

2010 ◽  
Vol 29 (4) ◽  
pp. 171 ◽  
Author(s):  
Alessio Malizia ◽  
Paolo Bottoni ◽  
S. Levialdi
Keyword(s):  
Digital Library ◽  
User Interfaces ◽  
Digital Libraries ◽  
Automatic Generation ◽  
Visual Language ◽  
Domain Experts ◽  
Model Driven ◽  
Neutral Models ◽  
Definition Of ◽  
High Level

The design and development of a digital library involves different stakeholders, such as: information architects, librarians, and domain experts, who need to agree on a common language to describe, discuss, and negotiate the services the library has to offer. To this end, high-level, language-neutral models have to be devised. Metamodeling techniques favor the definition of domainspecific visual languages through which stakeholders can share their views and directly manipulate representations of the domain entities. This paper describes CRADLE (Cooperative-Relational Approach to Digital Library Environments), a metamodel-based framework and visual language for the definition of notions and services related to the development of digital libraries. A collection of tools allows the automatic generation of several services, defined with the CRADLE visual language, and of the graphical user interfaces providing access to them for the final user. The effectiveness of the approach is illustrated by presenting digital libraries generated with CRADLE, while the CRADLE environment has been evaluated by using the cognitive dimensions framework.

Combining Heterogeneity, Compositionality, and Automatic Generation in Formal Modelling

2013 ◽  
pp. 17-33
Author(s):  
Stefano Marrone ◽  
Nicola Mazzocca ◽  
Roberto Nardone ◽  
Valeria Vittorini
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Formal Model ◽  
Automatic Generation ◽  
Formal Proof ◽  
Functional Requirements ◽  
Formal Modelling ◽  
Model Driven ◽  
Analysis Methodology ◽  
Market Needs

Critical computer-based systems have an increasing complexity due to the number of components, to their heterogeneity, and to the relationships among them. Such systems must meet strict non-functional requirements and should be able to cope with competitive market needs. The adoption of formal methods is often advocated in order to provide formal proof, but their application does not scale with the growing size of systems. The aim of this chapter is to introduce a modelling and analysis methodology that allows the combination of three proven research trends in formal modelling of large systems: formal model generation (by means of model-driven techniques), multiformalism, and compositional approaches. In this chapter there is also a discussion about enabling techniques. The proposed approach has been applied to the performability modelling and evaluation of flexible manufacturing systems.

AlexandRIA

2014 ◽  
pp. 303-322
Keyword(s):  
Code Generation ◽  
Automatic Generation ◽  
Cloud Services ◽  
Software Modeling ◽  
Application Development ◽  
Internet Applications ◽  
Model Driven ◽  
Rich Internet Applications ◽  
Ui Design ◽  
Automatic Code

Model-Driven Development (MDD) tools for Rich Internet Applications (RIAs) development are focused on software modeling, and they leave automatic code generation in a second term. On the other hand, Rapid Application Development (RAD) tools for RIAs development enable developers to save development time and effort by leveraging reusable software components. AlexandRIA is a RAD tool that allows developers to automatically generate both source and native code of multi-device RIAs from a set of preferences selected throughout a wizard following the phases of a User Interface (UI) pattern-based code generation approach for multi-device RIAs. In this chapter, the use of the UI design process behind AlexandRIA is demonstrated by means of a sample development scenario addressing the development of a cloud services Application Programming Interfaces (APIs)-based cross-platform mobile RIA. This scenario is further revisited in a case study that addresses the automatic generation of an equivalent application using AlexandRIA.

Modeling and Specification of Collaborative Business Processes with a MDA Approach and a UML Profile

2010 ◽  
pp. 238-268
Author(s):  
Pablo David Villarreal ◽  
Enrique Salomone ◽  
Omar Chiotti
Keyword(s):  
Business Processes ◽  
Conceptual Modeling ◽  
Automatic Generation ◽  
Uml Profile ◽  
Analysis And Design ◽  
Model Driven ◽  
Collaborative Processes ◽  
Interaction Protocols ◽  
Business To Business

This chapter describes the application of MDA (model driven architecture) and UML for the modeling and specification of collaborative business processes, with the purpose of enabling enterprises to establish business-to-business collaborations. The proposed MDA approach provides the components and techniques required for the development of collaborative processes from their conceptual modeling to the specifications of these processes and the partners’ interfaces in a B2B standard. As part of this MDA approach, a UML profile is provided that extends the semantics of UML2 to support the analysis and design of collaborative processes. This UML profile is based on the use of interaction protocols to model collaborative processes. The application of this UML profile in a case study is presented. Also, an overview is provided about the automatic generation of B2B specifications from conceptual models of collaborative processes. In particular, the generation of B2B specifications based on ebXML is described.

scholarly journals Toward Automatic Generation of Column-Oriented NoSQL Databases in Big Data Context

2019 ◽  
Vol 15 (09) ◽  
pp. 4
Author(s):  
Redouane Esbai ◽  
Fouad Elotmani ◽  
Fatima Zahra Belkadi
Keyword(s):  
Big Data ◽  
Relational Databases ◽  
Automatic Generation ◽  
Transformation Model ◽  
Model Driven ◽  
Transformation Rules ◽  
New Concepts ◽  
Nosql Database ◽  
Meta Object Facility ◽  
View Transformation

<span>The growth of application architectures in all areas (e.g. Astrology, Meteorology, E-commerce, social network, etc.) has resulted in an exponential increase in data volumes, now measured in Petabytes. Managing these volumes of data has become a problem that relational databases are no longer able to handle because of the acidity properties. In response to this scaling up, new concepts have emerged such as NoSQL. In this paper, we show how to design and apply transformation rules to migrate from an SQL relational database to a Big Data solution within NoSQL. For this, we use the Model Driven Architecture (MDA) and the transformation languages like as MOF 2.0 QVT (Meta-Object Facility 2.0 Query-View-Transformation) and Acceleo which define the meta-models for the development of transformation model. The transformation rules defined in this work can generate, from the class diagram, a CQL code for creation column-oriented NoSQL database.</span>

scholarly journals Model-driven support for business process families with the Common Variability Language (CVL)

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
Daniel Calegari ◽  
Andrea Delgado ◽  
Leonel Peña
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Processes ◽  
Qualitative Evaluation ◽  
Automatic Generation ◽  
Model Driven ◽  
Business Objective ◽  
Graphical Tool ◽  
The Common ◽  
Definition Of

To achieve a business objective, organizations may require variants of the same business process that depend on the context in which they are enacted. Several proposals have emerged to deal with the variability of business processes, focused on the modeling of a so-called process family. The proposals try to avoid modeling each variant separately, which implies duplication and maintenance of the common parts. Few of them also focus on automatically deriving a process variant from the definition of a process family, which is a central and complex task. One of these proposals is the Common Variability Language (CVL), which allows representing variability transparently in a host language. This article aims to explore the use of CVL together with the Business Process Model and Notation (BPMN 2.0) for modeling business process families, and the use of Model-Driven Engineering (MDE) techniques for the automatic generation of process variants. We also present a graphical tool supporting these ideas and a qualitative evaluation of the variability approach by using the VIVACE framework.

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