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18 articles for “Model-Driven Architecture”
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Research ArticleOpen accessEvery word in the titleA Method for the Development of Platform Models in the Model Driven Architecture ContextInali Wisniewski Soares, Luciane Telinski Wiedermann Agner, Paulo Cezar Stadzisz, Jean Marcelo SimaoThe application of the Model Driven Architecture (MDA) approach to the design of embedded software based on Real-Time Operating Systems (RTOS) is encouraged by the fact that such software has a wide variety of platforms. In this way, the creation of methods for the development of platform models that meet such diversity of platforms is necessary. This study proposes a … …Journal of Computer Science, Vol. 8, Issue 11 · 7 Nov 2012 · 6,461 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModel Refinement in the Model Driven Architecture ContextInali Wisniewski Soares, Luciane Telinski Wiedermann Agner, Paulo Cezar Stadzisz, Jean Marcelo SimaoProblem statement: Model Driven Architecture (MDA) is a software development approach based on the design and the transformation of models. In MDA, models are systematically translated to other models and to a source code. Model transformation plays a key role in MDA. Several model transformation languages have been launched lately, aiming to facilitate the translation of input models to output … …Journal of Computer Science, Vol. 8, Issue 8 · 10 Jul 2012 · 7,195 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAPPLYING BLACK-BOX TESTING TO MODEL TRANSFORMATIONS IN THE MODEL DRIVEN ARCHITECTURE CONTEXTLuciane Telinski Wiedermann Agner, Inali Wisniewski Soares, Jean Marcelo Simao, Paulo Cézar StadziszTesting model transformations has played a leading role with the dissemination of MDA in software development processes. Software testing based on black-box testing, together with the &#34category partitioning&#34 method, can be efficiently used in order to conduct the verification of model transformations. This study employs software testing techniques to an ATL model transformation in the MDA context and points out … …Journal of Computer Science, Vol. 10, Issue 8 · 20 Mar 2014 · 7,354 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGenMicro: A Tool for Generating Microservice Architectures with In-Depth Microservice DesignWilly Kengne Kungne, Georges-Edouard Kouamou, Paul AyangMicroService Architecture (MSA) has become an increasingly popular architectural style for distributed and service-based systems. Despite the various facilities offered by existing frameworks, setting up a microservice architecture remains challenging for developers. Also, configuring all the microservices is time-consuming. Several tools have been proposed for generating microservice architectures. For the most part, these tools focus on the basic configuration aspects, … …Journal of Computer Science, Vol. 21, Issue 3 · 25 Feb 2025 · 7,433 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Automatic Transformation Method from the E3value Model to IFML Model: An MDA ApproachNassim Kharmoum, Soumia Ziti, Yassine Rhazali, Fouzia OmaryNowadays the software industry has known a significant growth, while the end-users have become very demanding. In this sense, the model transformation has become one of the essential solutions to ensure competitiveness in the field of the software industry domain. For that, the Object Management Group (OMG) proposes for the Model-Driven Architecture (MDA) approach three abstraction levels, namely Computation Independent … …Journal of Computer Science, Vol. 15, Issue 6 · 12 Jun 2019 · 7,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsability Assessment of E-Commerce Systems Using McCall’s Quality ModelSiti Solehah Othman, A Noraziah, Roslina Mohd SidekE-commerce platforms rely fundamentally on business database transaction systems that must balance user experience with security and data integrity. Traditional usability assessment methodologies often overlook critical security elements and transactional integrity requirements. This study employs McCall's Quality Model to comprehensively evaluate the usability characteristics of three prominent e-commerce platforms: Temu, Shopee, and Lazada. Through structured task-based evaluations and Likert-scale questionnaires, … …Journal of Computer Science, Vol. 21, Issue 11 · 19 Dec 2025 · 2,541 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network ProtectionSina AhmadiThe growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically Retrainable Firewalls”, which respond to emerging threats in real-time. Unlike traditional firewalls that rely on static rules to inspect traffic, these advanced systems leverage machine learning algorithms to analyze network traffic patterns dynamically and identify threats. … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,558 accessesView PDFCite
Research ArticleOpen accessIn the abstractValidating and Evaluating a Dynamic Enterprise Architecture Model: A Case StudyImane Ettahiri, Latifa Rassam, Karim Doumi, Ahmed ZellouIn today’s rapidly changing business environment, adapting to evolving circumstances is a fundamental capability for organizations. Enterprise Architecture (EA) provides a holistic view of an organization’s structure, processes and technology, ensuring alignment with strategic objectives. However, traditional EA frameworks often lack the flexibility to dynamically respond to both predictable and unpredictable internal and external changes. This study proposes a novel, … …Journal of Computer Science, Vol. 21, Issue 3 · 7 Feb 2025 · 7,488 accessesView PDFCite