2,401 research outputs found

    Feasibility of EPC to BPEL Model Transformations Based on Ontology and Patterns

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    Model-Driven Engineering holds the promise of transforming\ud business models into code automatically. This requires the concept of\ud model transformation. In this paper, we assess the feasibility of model\ud transformations from Event-driven Process Chain models to Business\ud Process Execution Language specifications. To this purpose, we use a\ud framework based on ontological analysis and workflow patterns in order\ud to predict the possibilities/limitations of such a model transformation.\ud The framework is validated by evaluating the transformation of several\ud models, including a real-life case.\ud The framework indicates several limitations for transformation. Eleven\ud guidelines and an approach to apply them provide methodological support\ud to improve the feasibility of model transformation from EPC to\ud BPEL

    Semantic model-driven development of web service architectures.

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    Building service-based architectures has become a major area of interest since the advent of Web services. Modelling these architectures is a central activity. Model-driven development is a recent approach to developing software systems based on the idea of making models the central artefacts for design representation, analysis, and code generation. We propose an ontology-based engineering methodology for semantic model-driven composition and transformation of Web service architectures. Ontology technology as a logic-based knowledge representation and reasoning framework can provide answers to the needs of sharable and reusable semantic models and descriptions needed for service engineering. Based on modelling, composition and code generation techniques for service architectures, our approach provides a methodological framework for ontology-based semantic service architecture

    A Model Based Framework for IoT-Aware Business Process Management

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    IoT-aware Business Processes (BPs) that exchange data with Internet of Things (IoT) devices, briefly referred to as IoT-aware BPs, are gaining momentum in the BPM field. Introducing IoT technologies from the early stages of the BP development process requires dealing with the complexity and heterogeneity of such technologies at design and analysis time. This paper analyzes widely used IoT frameworks and ontologies to introduce a BPMN extension that improves the expressiveness of relevant BP modeling notations and allows an appropriate representation of IoT devices from both an architectural and a behavioral perspective. In the BP management field, the use of simulation-based approaches is recognized as an effective technology for analyzing BPs. Simulation models need to be parameterized according to relevant properties of the process under study. Unfortunately, such parameters may change during the process operational life, thus making the simulation model invalid with respect to the actual process behavior. To ease the analysis of IoT-aware BPs, this paper introduces a model-driven method for the automated development of digital twins of actual business processes. The proposed method also exploits data retrieved by IoT sensors to automatically reconfigure the simulation model, to make the digital twin continuously coherent and compliant with its actual counterpart

    A semantic service-oriented architecture for distributed model management systems

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    Decision models are organizational resources that need to be managed to facilitate sharing and reuse. In today\u27s networked economy, the ubiquity of the Internet and distributed computing environments further amplifies the need and the potential for distributed model management system (DMMS) that manages decision models throughout the modeling lifecycle and throughout the extended enterprise

    Formal Scenario Definition Language for Aviation: Aircraft Landing Case Study

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    Although the importance of scenarios in modeling and simulation has long been well known, there still exists a lack of common understanding and standardized practices in simulation scenario development. This paper proposes a Domain-Specific Language (DLS) to provide a standard scenario specification that will lead to a common mechanism for verifying and executing aviation scenarios, effective sharing of scenarios among various simulation environments, improve the consistency among different simulators and simulations, and even enable the reuse of scenario specifications. Following DSL design practices, the proposed Aviation Scenario Definition Language (ASDL) will provide a well-structured definition language to formally specify complete aircraft landing scenarios. In order to capture the necessary constructs for a simulation scenario, Simulation Interoperability Standards Organization (SISO) Base Object Model (BOM) is adopted as the baseline metamodel. This baseline is extended using the fundamentals of aircraft landing that cover all the domain-related concepts and terminology as constructs. By taking a formal approach in defining aviation scenarios, ASDL aims at providing consistency and completeness checking, and model-to-text transformations capabilities for various targets in the aviation scenario definition domain. The results of this work will be used to develop a graphical modeling environment and automatic means to transform scenario models into executable scenario scripts. The work presented here is the first stepping stone in formal scenario definition in aviation domain

    Verifying Web Applications: From Business Level Specifications to Automated Model-Based Testing

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    One of reasons preventing a wider uptake of model-based testing in the industry is the difficulty which is encountered by developers when trying to think in terms of properties rather than linear specifications. A disparity has traditionally been perceived between the language spoken by customers who specify the system and the language required to construct models of that system. The dynamic nature of the specifications for commercial systems further aggravates this problem in that models would need to be rechecked after every specification change. In this paper, we propose an approach for converting specifications written in the commonly-used quasi-natural language Gherkin into models for use with a model-based testing tool. We have instantiated this approach using QuickCheck and demonstrate its applicability via a case study on the eHealth system, the national health portal for Maltese residents.Comment: In Proceedings MBT 2014, arXiv:1403.704

    Model morphisms (MoMo) to enable language independent information models and interoperable business networks

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    MSc. Dissertation presented at Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa to obtain the Master degree in Electrical and Computer EngineeringWith the event of globalisation, the opportunities for collaboration became more evident with the effect of enlarging business networks. In such conditions, a key for enterprise success is a reliable communication with all the partners. Therefore, organisations have been searching for flexible integrated environments to better manage their services and product life cycle, where their software applications could be easily integrated independently of the platform in use. However, with so many different information models and implementation standards being used, interoperability problems arise. Moreover,organisations are themselves at different technological maturity levels, and the solution that might be good for one, can be too advanced for another, or vice-versa. This dissertation responds to the above needs, proposing a high level meta-model to be used at the entire business network, enabling to abstract individual models from their specificities and increasing language independency and interoperability, while keeping all the enterprise legacy software‟s integrity intact. The strategy presented allows an incremental mapping construction, to achieve a gradual integration. To accomplish this, the author proposes Model Driven Architecture (MDA) based technologies for the development of traceable transformations and execution of automatic Model Morphisms
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