Academic literature on the topic 'Meta-modeling architectures'
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Journal articles on the topic "Meta-modeling architectures"
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Monthe, Valery Marcial, Laurent Nana, and Georges Edouard Kouamou. "A Model-Based Approach for Common Representation and Description of Robotics Software Architectures." Applied Sciences 12, no. 6 (March 15, 2022): 2982. http://dx.doi.org/10.3390/app12062982.
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Unlike conventional software, robotic software suffers from a lack of methods and processes that could systematize and facilitate development. Thus, the application of software engineering techniques is at the heart of current issues in robotics. The work presented in this paper aims to facilitate the development of robotic software and to facilitate communication between experts in the field through the use of software engineering techniques and methods. It proposes RsaML (Robotic Software Architecture Modeling Language), a Domain Specific Modeling Language (DSML) dedicated to robotics, which takes into account the different categories of robotic software architectures and makes it possible to describe the latter independently from the implementation platform. The conceptual model defining the terminology and the hierarchy of concepts used for the description and representation of robotic software architectures in RsaML are presented in this article. RsaML is defined through a meta-model which represents the abstract syntax of the language. The real-time properties of robotic software architectures are identified and included in the meta-model. The use of RsaML is illustrated through several experimental scenarios of the language: the definition of a robotic system and the description of its software architecture, the verification of the semantics of a robotic software architecture, and the modeling of a robotic system whose software architecture does not belong to the usual categories. The support tool used for implementations and experimentation is Eclipse Modeling Framework (EMF). The results of experimentation showed good working of the proposed solution and made it possible to validate the main concepts of the RsaML language.
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Arachchige, Jeewanie Jayasinghe, Hans Weigand, and Manfred Jeusfeld. "Business Service Modeling for the Service-Oriented Enterprise." International Journal of Information System Modeling and Design 3, no. 1 (January 2012): 1–22. http://dx.doi.org/10.4018/ijismd.2012010101.
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Service-oriented architectures are the upcoming business standard for realizing enterprise information systems, thus creating a need for analysis and design methods that are truly service-oriented. Most research on this topic so far takes a strict software engineering perspective. For a proper alignment between the business and the IT, a service perspective at the business level is needed as well. Using an MDA approach, this paper introduces a new business service and resource modeling language – BSRM, based on the REA business ontology. Coordination services are identified as boundary objects between the conceptual and operational level. A meta-modeling approach is used to map the service modeling language with complimentary models, in particular value network (e3value), data model (ER) and process models (BPMN).
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Pape, Louis, Siddhartha Agarwal, Kristin Giammarco, and Cihan Dagli. "Fuzzy Optimization of Acknowledged System of Systems Meta-architectures for Agent based Modeling of Development." Procedia Computer Science 28 (2014): 404–11. http://dx.doi.org/10.1016/j.procs.2014.03.050.
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Boumahdi, Fatima, and Rachid Chalal. "SOAda." International Journal of Systems and Service-Oriented Engineering 4, no. 2 (April 2014): 13–27. http://dx.doi.org/10.4018/ijssoe.2014040102.
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For the last few years, a rise has been observed in research activity in Service Oriented Architectures, with applications in different sectors. Several new technologies have been introduced and even more are being currently researched and aimed to the future. To meet the goals of a successful SOA implementation, enterprises need to reconsider how they provision decision aspect. This paper puts forward one novel idea and architecture about how enterprises move to a new SOA which leverages with decision aspect. In this paper, the authors describe an extended Service-Oriented Architecture - SOAda for supporting a decision aspect. The authors also present our DMS meta-model (Decisional Model of the Service) to define a new set of concepts necessary for modeling the three levels: business, information and decision. Some of them are already known, whereas others are new and are proposed as an element of this work.
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Ya'u, Badamasi Imam, Azlin Nordin, and Norsaremah Salleh. "META-MODELING CONSTRUCTS FOR REQUIREMENTS REUSE (RR): SOFTWARE REQUIREMENTS PATTERNS, VARIABILITY AND TRACEABILITY." MALAYSIAN JOURNAL OF COMPUTING 3, no. 2 (December 31, 2018): 119. http://dx.doi.org/10.24191/mjoc.v3i2.4181.
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Reuse is a fundamental activity, which increases quality and productivity of software products. Reuse of software artifacts, such as requirements, architectures, and codes can be employed at any developmental stage of software. However, reuse at a higher level of abstraction, for instance at requirements level, provides greater benefits in software development than when applied at lower level of abstraction for example at coding level. To achieve full benefits of reuse, a systematic approach and appropriate strategy need to be followed. Although several reuse approaches are reported in the literature, these approaches lack a key strategy to synergize some essential drivers of reuse, which include reusable structure, variability management (VM) and traceability of software artifacts. In line with this, we make our contribution in this paper by (1) presenting the concepts and importance of software requirements patterns (SRP) for reusable structure; (2) proposing a strategy, which combines three sub-disciplines of Software Engineering (SE) such as Requirements Engineering (RE), Software Product Line Engineering (SPLE) and Model-driven Engineering (MDE); (3) proposing a meta-modeling constructs, which include SRP, VM and traceability and; (4) Relationship amongst the three sub-disciplines of the SE. This is a novel approach and we believe it can support and guide researchers and practitioners in SE community to have greater benefits of reuse during software developments.
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Chrisley, Ron. "Artificial Consciousness, Meta-Knowledge, and Physical Omniscience." Journal of Artificial Intelligence and Consciousness 07, no. 02 (August 5, 2020): 199–215. http://dx.doi.org/10.1142/s2705078520500101.
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Previous work [Chrisley & Sloman, 2016, 2017] has argued that a capacity for certain kinds of meta-knowledge is central to modeling consciousness, especially the recalcitrant aspects of qualia, in computational architectures. After a quick review of that work, this paper presents a novel objection to Frank Jackson’s Knowledge Argument (KA) against physicalism, an objection in which such meta-knowledge also plays a central role. It is first shown that the KA’s supposition of a person, Mary, who is physically omniscient, and yet who has not experienced seeing red, is logically inconsistent, due to the existence of epistemic blindspots for Mary. It is then shown that even if one makes the KA consistent by supposing a more limited physical omniscience for Mary, this revised argument is invalid. This demonstration is achieved via the construction of a physical fact (a recursive conditional epistemic blindspot) that Mary cannot know before she experiences seeing red for the first time, but which she can know afterward. After considering and refuting some counter-arguments, the paper closes with a discussion of the implications of this argument for machine consciousness, and vice versa.
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Mišovič, Milan, and Oldřich Faldík. "Applying of component system development in object methodology." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 7 (2013): 2515–22. http://dx.doi.org/10.11118/actaun201361072515.
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In the last three decades, the concept and implementation of component-based architectures have been promoted in software systems creation. Increasingly complex demands are placed on the software component systems, in particular relating to the dynamic properties. The emergence of such requirements has been gradually enforced by the practice of development and implementation of these systems, especially for information systems software.Just the information systems (robust IS) of different types require that target software meets their requirements. Among other things, we mean primarily the adaptive processes of different domains, high distributives due to the possibilities of the Internet 2.0, acceptance of high integrity of life domains (process, data and communications integrity), scalability, and flexible adaptation to process changes, a good context for external devices and transparent structure of the sub-process modules and architectural units.Of course, the target software of required qualities and the type robust cannot be a monolith. As commonly known, development of design toward information systems software has clearly come to the need for the software composition of completely autonomous, but cooperating architectural units that communicate with each other using messages of prescribed formats.Although for such units there were often used the so called subsystems and modules, see (Jac, Boo, Rumbo, 1998) and (Arlo, Neus, 2007), their abstraction being gradually enacted as the term component. In other words, the subsystems and modules are specific types of components.In (Král, Žeml, 2000) and (Král, Žeml, 2003) there are considered two types of target software of information systems. The first type – there are SWC (Software Components), composed of permanently available components, which are thought as services – Confederate software. The second type – SWA (Software Alliance), called semi Confederate, formed during the run-time of the software system and referred to as software alliance.In both of these mentioned publications there is delivered deep philosophy of relevant issues relating to SWC / SWA as creating copies of components (cloning), the establishment and destruction of components at software run-time (dynamic reconfiguration), cooperation of autonomous components, programmable management of components interface in depending on internal components functionality and customer requirements (functionality, security, versioning).Nevertheless, even today we can meet numerous cases of SWC / SWA existence, with a highly developed architecture that is accepting vast majority of these requests. On the other hand, in the development practice of component-based systems with a dynamic architecture (i.e. architecture with dynamic reconfiguration), and finally with a mobile architecture (i.e. architecture with dynamic component mobility) confirms the inadequacy of the design methods contained in UML 2.0. It proves especially the dissertation thesis (Rych, Weis, 2008). Software Engineering currently has two different approaches to systems SWC / SWA. The first approach is known as component-oriented software development CBD (Component based Development). According to (Szyper, 2002) that is a collection of CBD methodologies that are heavily focused on the setting up and software components re-usability within the architecture. Although CBD does not show high theoretical approach, nevertheless, it is classified under the general evolution of SDP (Software Development Process), see (Sommer, 2010) as one of its two dominant directions.From a structural point of view, a software system consists of self-contained, interoperable architectural units – components based on well-defined interfaces. Classical procedural object-oriented methodologies significantly do not use the component meta-models, based on which the target component systems are formed, then. Component meta-models describe the syntax, semantics of components. They are a system of rules for components, connectors and configuration. Component meta-models for dynamic and mobile architectures also describe the concept of rules for configuration changes (rules for reconfiguration). As well-known meta-models are now considered: Wright for static architecture, SOFA and Darvin for dynamic architecture and SOFA 2.0 for mobile architecture, see (Rych, Weis, 2008).The CBD approach verbally defines the basic terms as component (primitive / composite), interface, component system, configuration, reconfiguration, logical (structural) view, process view (behavioral), static component architecture, dynamic architecture, mobile architecture (fully dynamic architecture), see (IEEE Report, 2000) and (Crnk, Chaud, 2006).The CBD approach also presents several ADL languages (Architecture Description Languages) which are able to describe software architecture. The known languages are integration ACME and UML (Unified Modeling Language), see (Garl, Mon, Wil, 2000) and (UNIFEM, 2005).The second approach to SWC / SWA systems is formed on SOA, but this article does not deal with it consistently.SOA is a philosophy of architecture. SOA is not a methodology for the comprehensive development of the target software. Nevertheless, SOA successfully filled the role of software design philosophy and on the other hand, also gave an important concept linking software components and their architectural units – business services. SOA understands any software as a Component System of a business service and solved life components in it. The physical implementation of components is given by a Web services platform. A certain lack of SOA is its weak link to the business processes that are a universally recognized platform for business activities and the source for the creation of enterprise services.This paper deals with a specific activity in the CBD, i.e. the integration of the concept of component-based system into an advanced procedural, object-oriented methodology (Arlo, Neust, 2007), (Kan, Müller, 2005), (Krutch, 2003) for problem domains with double-layer process logic. There is indicated an integration method, based on a certain meta-model (Applying of the Component system Development in object Methodology) and leading to the component system formation. The mentioned meta-model is divided into partial workflows that are located in different stages of a classic object process-based methodology. Into account there are taken the consistency of the input and output artifacts in working practices of the meta-model and mentioned object methodology. This paper focuses on static component systems that are starting to explore dynamic and mobile component systems.In addition, in the contribution the component system is understood as a specific system, for its system properties and basic terms notation being used a set and graph and system algebra.
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Nikanjam, Amin, Houssem Ben Braiek, Mohammad Mehdi Morovati, and Foutse Khomh. "Automatic Fault Detection for Deep Learning Programs Using Graph Transformations." ACM Transactions on Software Engineering and Methodology 31, no. 1 (January 31, 2022): 1–27. http://dx.doi.org/10.1145/3470006.
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Nowadays, we are witnessing an increasing demand in both corporates and academia for exploiting Deep Learning ( DL ) to solve complex real-world problems. A DL program encodes the network structure of a desirable DL model and the process by which the model learns from the training dataset. Like any software, a DL program can be faulty, which implies substantial challenges of software quality assurance, especially in safety-critical domains. It is therefore crucial to equip DL development teams with efficient fault detection techniques and tools. In this article, we propose NeuraLint , a model-based fault detection approach for DL programs, using meta-modeling and graph transformations. First, we design a meta-model for DL programs that includes their base skeleton and fundamental properties. Then, we construct a graph-based verification process that covers 23 rules defined on top of the meta-model and implemented as graph transformations to detect faults and design inefficiencies in the generated models (i.e., instances of the meta-model). First, the proposed approach is evaluated by finding faults and design inefficiencies in 28 synthesized examples built from common problems reported in the literature. Then NeuraLint successfully finds 64 faults and design inefficiencies in 34 real-world DL programs extracted from Stack Overflow posts and GitHub repositories. The results show that NeuraLint effectively detects faults and design issues in both synthesized and real-world examples with a recall of 70.5% and a precision of 100%. Although the proposed meta-model is designed for feedforward neural networks, it can be extended to support other neural network architectures such as recurrent neural networks. Researchers can also expand our set of verification rules to cover more types of issues in DL programs.
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Loftus, Tyler J., Benjamin Shickel, Matthew M. Ruppert, Jeremy A. Balch, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Philip A. Efron, et al. "Uncertainty-aware deep learning in healthcare: A scoping review." PLOS Digital Health 1, no. 8 (August 10, 2022): e0000085. http://dx.doi.org/10.1371/journal.pdig.0000085.
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Mistrust is a major barrier to implementing deep learning in healthcare settings. Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learning entrustment is largely unexplored, and there is no consensus regarding optimal methods for quantifying uncertainty. Our purpose is to critically evaluate methods for quantifying uncertainty in deep learning for healthcare applications and propose a conceptual framework for specifying certainty of deep learning predictions. We searched Embase, MEDLINE, and PubMed databases for articles relevant to study objectives, complying with PRISMA guidelines, rated study quality using validated tools, and extracted data according to modified CHARMS criteria. Among 30 included studies, 24 described medical imaging applications. All imaging model architectures used convolutional neural networks or a variation thereof. The predominant method for quantifying uncertainty was Monte Carlo dropout, producing predictions from multiple networks for which different neurons have dropped out and measuring variance across the distribution of resulting predictions. Conformal prediction offered similar strong performance in estimating uncertainty, along with ease of interpretation and application not only to deep learning but also to other machine learning approaches. Among the six articles describing non-imaging applications, model architectures and uncertainty estimation methods were heterogeneous, but predictive performance was generally strong, and uncertainty estimation was effective in comparing modeling methods. Overall, the use of model learning curves to quantify epistemic uncertainty (attributable to model parameters) was sparse. Heterogeneity in reporting methods precluded the performance of a meta-analysis. Uncertainty estimation methods have the potential to identify rare but important misclassifications made by deep learning models and compare modeling methods, which could build patient and clinician trust in deep learning applications in healthcare. Efficient maturation of this field will require standardized guidelines for reporting performance and uncertainty metrics.
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Park, Jong Hyuk. "Advanced IT-Based Future Sustainable Computing (2017–2018)." Sustainability 11, no. 8 (April 15, 2019): 2264. http://dx.doi.org/10.3390/su11082264.
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Future Sustainability Computing (FSC) is an emerging concept that holds various types of paradigms, rules, procedures, and policies to support breadth and length of the deployment of Information Technology (IT) for abundant life. However, advanced IT-based FCS is facing several sustainability problems in different information processing and computing environments. Solutions to these problems can call upon various computational and algorithmic frameworks that employ optimization, integration, generation, and utilization technique within cloud, mobile, and cluster computing, such as meta-heuristics, decision support systems, prediction and control, dynamical systems, machine learning, and so on. Therefore, this special issue deals with various software and hardware design, novel architectures and frameworks, specific mathematical models, and efficient modeling-simulation for advance IT-based FCS. We accepted eighteen articles in the six different IT dimensions: machine learning, blockchain, optimized resource provision, communication network, IT governance, and information security. All accepted articles contribute to the applications and research in the FCS, such as software and information processing, cloud storage organization, smart devices, efficient algorithmic information processing and distribution.
Dissertations / Theses on the topic "Meta-modeling architectures"
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Khecharem, Amani. "MuVArch : une approche de méta-modélisation pour la représentation multi-vues des architectures hétérogènes embarqués." Thesis, Nice, 2016. http://www.theses.fr/2016NICE4019/document.
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Nous avons défini et réalisé avec l'approche MuVarch un environnement de (méta-)modélisation orientée vers la représentation multi-vues des architectures embarquées hétérogènes (de type "smartphone" par exemple). En plus de la vue architecturale de base, support de toutes les autres, on considère les vues "performance", "consommation", "température", ainsi que la vue fonctionnelle "applicative" pour fournir des scénarios comportementaux de fonctionnement de la plate-forme. Il était important de savoir décrire en MuVarch comment les vues se raccrochent à la vue de base architecturale, et comment elle se relient également entre elles (relation entre consommation énergétique et température par exemple). L'objectif ultime est d'utiliser ce framework multi-vues et les différentes informations apportées par chacune, pour savoir supporter des politiques alternatives de mapping/allocation des tâches applicatives sur les ressources de l'architecture (la définition de ces politiques restant extérieure à nos travaux de thèse). La représentation adéquate de cette relation d'allocation forme donc un des aspects importants de nos travauxWe introduced and realized with our MuVarch approach an heterogeneous (meta)modeling environment for multi-view representation of heterogeneous embedded architectures (of "smartphone" type for instance). In addition to the backbone architectural view supporting others, we considered performance, power, and thermal view. We introduced also the functional applicative view, to provide typical use cases for the architecture. It was important to describe in MuVarch our various views would connect to the basic one, and how they would mutually relate together as well (how temperature depends on power consumption for instance). The global objective was to let the framework consider alternative mapping/allocation strategies for applicative tasks on architectural resources (although the definition of such strategies themselves was out of the scope). The appropriate form of such an allocation relation, which may be quite involved, was thus an important aspect of this thesis
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Pagáč, Jiří. "UML profil pro modelování komponentových systémů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236998.
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The thesis deals with the modeling of the Component Based Software (CBS) systems in the UML language and with extension of the UML language with using of meta-modeling techniques and with using of the UML Prodile technology. Thesis also deals with Component Based Development (CBD). The main part of this study deals with specifying of methodology for creating of UML Prodiles and with demonstration of this methodology on selected Component System meta-model by creating the profile including the OCL constraints and description of problems with creating of the prodile. Thesis also describes support of the UML Profile technology in existing UML CASE tools. For demonstration purposes thesis contains the case study with example which uses in this work created UML Profile. Profile is created in accordance with specification of UML version 2.3 and OCL in version 2.2. Demonstration is performed and profile itself is created using IBM Rational Software Architect version 8.0.2.
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Temate, Ngaffo Suzy Hélène Germaine. "Des langages de modélisation dédiés aux environnements de méta-modélisation dédiés." Thesis, Toulouse, INPT, 2012. http://www.theses.fr/2012INPT0129/document.
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Les langages dédiés (DSL) sont de plus en plus utilisés parce qu’ils permettent aux utilisateurs qui ne sont pas des experts en programmation d’exprimer des solutions avec des langages simples qui capturent l’expertise de leur domaine. C’est encore plus vrai pour les langages dédiés graphiques (DSML) qui ont un niveau d’abstraction plus élevé que les langages dédiés de programmation. Implémenter un DSML revient généralement à fournir un éditeur dédié qui permette aux utilisateurs de manipuler les abstractions de leur domaine (d’instancier le langage). Les expériences ont montré que l’implémentation d’un tel éditeur dédié graphique est coûteuse en termes de temps et de ressources humaines. Nous constatons que la plupart des plates-formes permettant de construire ce type d’éditeur (EMF/GMF, DSL Tools, Obeo Designer, ...) sont génériques. Elles essayent d’adresser le maximum de domaines possibles, ce qui les rend complexes et inadaptées à des cas d’utilisation spécifiques. Si la spécialisation aux domaines a été un succès pour les langages, pourquoi ne pas l’appliquer aux plates-formes de construction d’éditeurs ? Cela reviendrait à concevoir pour un domaine donné, une plate-forme permettant de construire facilement des éditeurs dédiés pour ce domaine. Cette plate-forme n’aurait pas les défauts d’une plate-forme totalement générique parce qu’elle serait restreinte au domaine ciblé. Ce type de plate-forme spécifique à un domaine, nous l’appelons Domain Specific Modeling Framework (DSMF). Le principal inconvénient d’un DSMF est qu’on ne peut l’utiliser que dans le cadre du domaine pour lequel il a été conçu. Cela implique qu’il faille construire un DSMF par domaine et c’est une solution coûteuse. Toutefois, nous pensons que cette approche sur les DSMF peut être généralisée afin d’adresser un grand nombre de domaines. Cette thèse a donc consisté à concevoir et à implanter un environnement qui permet de construire des DSMF de façon modulaireDomain Specific Languages (DSLs) are increasingly used in many fields as they allow users to express strategies without being programming experts. This is particularly true for graphical DSLs called Domain Specific Modeling Languages (DSMLs) which are more intuitive than programming DSLs. Implementing a DSML means providing a specific editor which allow users to express the language’s constructions (instantiate the language). Many experiments showed that implementing specific graphical editors is much manpower consuming. Our analysis is that most frameworks for building such editors (e.g. EMF/GMF) are generic, i.e. aim at fulfilling the requirements of any field, which leads to increased complexity and costs a lot in terms of development time. If domain specialization was successful for languages, why don’t we apply it to frameworks ? Specializing such a framework according to the constraints of a domain would allow keeping the definition of a specific editor simple, while fulfilling the requirements of the considered domain. Domain specific frameworks for building DSML editors in specific application fields is a promising approach. Such a framework does not have the limits of generic frameworks because it is restricted to a particular domain. It is more intuitive and simpler to use as it only proposes abstraction of the domain for building DSMLs. We call this type of framework Domain Specific Modeling Framework (DSMF). For example, if we consider the component domain, there are several DSMLs in this domain which share the same layout requirements. We implemented a DSMF for this family of DSMLs. This DSMF is specialized according to the constraints and layout requirements of the component domain (Components, connectors, Bindings, . . .). This specialization allows simple and rapid generation of specific editors devoted to component-based architectures. The principal drawback of a DSMF is its restricted scope to one specific domain. This approach requires to develop one DSMF per domain and the development cost can be significant. A solution may be to generalise the DSMF approach in order to address many application fields. We designed a Generic framework for building DSMFs in a modular way. This thesis is based on the implementation of this framework
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Hauksson, Hilmar. "Metamodeling for Business Model Design : Facilitating development and communication of Business Model Canvas (BMC) models with an OMG standards-based metamodel." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138139.
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Interest for business models and business modeling has increased rapidly since the mid-1990‘s and there are numerous approaches used to create business models. The business model concept has many definitions which can lead to confusion and slower progress in the research and development of business models. A business model ontology (BMO) was created in 2004 where the business model concept was conceptualized based on an analysis of existing literature. A few years later the Business Model Canvas (BMC) was published; a popular business modeling approach providing a high-level, semi-formal approach to create and communicate business models. While this approach is easy to use, the informality and high-level approach can cause ambiguity and it has limited computer-aided support available. In order to propose a solution to address this problem and facilitate the development and communication of Business Model Canvas models, two artifacts are created, demonstrated and evaluated; a structured metamodel for the Business Model Canvas and its implementation in an OMG standards-based modeling tool to provide tool support for BMC modeling.This research is carried out following the design science approach where the artifacts are created to better understand and improve the identified problem. The problem and its background are explicated and the planned artifacts and requirements are outlined. The design and development of the artifacts are detailed and the resulting BMC metamodel is presented as a class diagram in Unified Modeling Language (UML) and implemented to provide tool support for BMC modeling. A demonstration with a business model and an evaluation is performed with expert interviews and informed arguments.The creation of a BMC metamodel exposed some ambiguity in the definition and use of the Business Model Canvas and the importance of graphical presentation and flexibility in the tools used.The evaluation of the resulting artifacts suggests that the artifacts do facilitate the development and communication of the Business Model Canvas models by improving the encapsulation and communication of information in a standardized way and thereby the goals of the research are met.
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Osman, Guedi Abdoulkader. "Évolution et transformation automatisée de modèles de systèmes d’information : une approche guidée par l’analyse formelle de concepts et l’analyse relationnelle de concepts." Thesis, Montpellier 2, 2013. http://www.theses.fr/2013MON20239/document.
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L'évolution rapide des besoins dus entre autres à l'innovation technique, la concurrence ou la réglementation conduit souvent à décrire le cadre d'étude des systèmes d'information dans des modèles conceptuels, pour faciliter l'évolution du fonctionnement des systèmes. La mise au point de ces modèles s'effectue en plusieurs phase au cours desquelles collaborent plusieurs équipes de nature différente, chaque intervenant apportant sa perception du système à construire en se limitant à la partie de son domaine de spécialisation. Il faut alors concilier les différentes perceptions. L'objectif essentiel de la thèse est de concevoir les mécanismes permettant d'une part d'obtenir le modèle factorisant les concepts communs à plusieurs modèles et, d'autre part, de proposer aux concepteurs une méthodologie de suivi de l'évolution de la factorisation. Pour réaliser la factorisation, nous avons mis en œuvre l'Analyse Formelle de Concepts et l'Analyse Relationnelle de Concepts (ARC) qui sont des méthodes d'analyse de données basées sur la théorie des treillis. Dans un ensemble d'entités décrites par des caractéristiques, les deux méthodes extraient des concepts formels qui associent un ensemble maximal d'entités à un ensemble maximal de caractéristiques partagées. Ces concepts formels sont structurés dans un ordre partiel de spécialisation qui les munit d'une structure de treillis. L'ARC permet de compléter la description des entités par des relations entre entités. La première contribution de la thèse est une méthode d'analyse de l'évolution de la factorisation d'un modèle basée sur l'AFC et l'ARC. Cette méthode s'appuie la capacité de l'AFC et de l'ARC à faire émerger au sein d'un modèle des abstractions thématiques de niveau supérieur, améliorant ainsi la sémantique des modèles. Nous montrons que ces méthodes peuvent aussi être employées pour suivre l'évolution du processus d'analyse avec des acteurs. Nous introduisons des métriques sur les éléments de modélisation et sur les treillis de concepts qui servent de base à l'élaboration de recommandations. Nous effectuons une expérimentation dans laquelle nous étudions l'évolution des 15 versions du modèle de classes du système d'information SIE-Pesticides. La seconde contribution de la thèse est une étude approfondie du comportement de l'ARC sur des modèles UML. Nous montrons l'influence de la structure des modèles sur différentes variables étudiées (comme les temps d'exécution et la mémoire occupée) au travers de plusieurs expérimentations sur les 15 versions du modèle SIE-Pesticides. Pour cela, nous étudions plusieurs configurations (choix d'éléments et de relations dans le méta-modèle) et plusieurs paramètres (choix d'utiliser les éléments non nommés, choix d'utiliser la navigabilité). Des métriques sont introduites pour guider le concepteur dans le pilotage du processus de factorisation et des recommandations sur les configurations et paramétrages à privilégier sont faites. La dernière contribution est une approche de factorisation inter-modèles afin de regrouper au sein d'un modèle l'ensemble des concepts communs à différents modèles sources conçus par différents experts. Outre le regroupement des concepts communs, cette analyse produit de nouvelles abstractions généralisant des concepts thématiques existants. Nous appliquons notre approche sur les 15 versions du modèle du SIE-Pesticides. L'ensemble de ces travaux s'inscrit dans un cadre de recherche dont l'objectif est de factoriser des concepts thématiques au sein d'un même modèle et de contrôler par des métriques la profusion de concepts produits par l'AFC et surtout par l'ARCThe rapidly changing needs among other things due to technical innovation, competition and regulation often leads to describe the context for the study of conceptual models in information systems to facilitate the evolution of operating systems. The development of these models is carried out in several phases during which several working teams of different nature, providing each participant's perception of the system to be built is limited to the part of his area of specialization. It must then reconcile the different perceptions.The main objective of the thesis is to design mechanisms to obtain a share of the model factoring concepts common to several models and, secondly, to provide designers with a methodology for monitoring the evolution of factorization.To perform the factorization, we have implemented the Formal Concept Analysis and Relational Concepts Analysis (RCA), which are methods of analysis based on the theory of lattice data. In a set of entities described by features, both methods extract formal concepts that combine a maximum of entities to a maximum set of shared characteristics together. These formal concepts are structured in a partial order of specialization that provides with a lattice structure.The CRA can complement the description of the entities by relationships between entities.The first contribution of the thesis is a textbf {method a model for analyzing the evolution of the factorization based on the FCA and the RCA}. This method builds the capacity of the AFC and the CRA to emerge in a model of thematic abstractions higher level, improving semantic models. We show that these methods can also be used to monitor the analytical process with stakeholders. We introduce metrics on the design elements and the concept lattices which are the basis for the development of recommendations. We conduct an experiment in which we study the evolution of the 15 versions of the model class of information-Pesticides EIS system.The second contribution of this thesis is a textbf {depth study of the behavior of the RCA on UML models.} We show the influence of model structure on different variables studied (such as execution time and memory used) through several experiments on 15 versions of the EIS-Pesticides model. For this, we study several configurations (choice of elements and relations in the meta-model) and several parameters (choice of using unnamed elements, choice of using airworthiness). Metrics are introduced to guide the designer in managing the process of factoring and recommendations on the preferred configurations and settings are made.The last contribution is a textbf {approach to inter-model factorization} to group in a model all the concepts common to different source models designed by different experts. In addition to the consolidation of common concepts, this analysis produces new abstractions generalizing existing thematic concepts. We apply our approach on 15 versions of the model EIS-Pesticides.All this work is part of a research framework which aims to factor thematic concepts within a model and control metrics by the profusion of concepts produced by the FCA and especially by RCA
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PATARA, FULVIO. "Multi-level meta-modeling architectures applied to eHealth." Doctoral thesis, 2016. http://hdl.handle.net/2158/1041924.
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Over the last decade, a growing digital universe of unstructured or semi- structured human-sourced information, structured process-mediated data, and well-structured machine-generated data, encourages the adoption of innovative forms of data modeling and information processing to enable enhanced insight, decision making, and process automation applied to a variety of different contexts. Healthcare comprises a notable domain of interest, where the availability of a large amount of information can be exploited to take relevant and tangible benefits in terms of efficiency of the care process, improved out- comes and reduced health system costs. However, due to the complex nature of clinical data, a number of challenges needs to be faced, mainly related on how data characterized by volume, variety, variability, velocity, and veracity can be effectively and efficiently modeled, and how these data can be exploited for increasing the domain knowledge and supporting decision-making processes.
The aim of this dissertation is to describe the crucial role played by soft- ware architectures in order to overcome challenges posed by the healthcare context. Specifically, this dissertation addresses the development and applicability of multi-level meta-modeling architectures to various scenarios of eHealth, where flexibility and changeability represent primary requirements. Meta-modeling principles are concretely exploited in the implementation of an adaptable patient-centric Electronic Health Record (EHR) system to face a number of challenging requirements, including: adaptability to different specialities and organizational contexts; run-time configurability by domain experts; interoperability of heterogeneous data produced by various sources and accessed by various actors; applicability of guideline recommendations for evaluating clinical practice compliance; applicability of Activity Recognition techniques for monitoring and classifying human activities in pervasive intelligent environments.
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Fioravanti, Sara. "Performance engineering of multi-level meta-modeling architectures based on J2EE stack." Doctoral thesis, 2018. http://hdl.handle.net/2158/1119732.
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Non-functional requirements of changeability and adaptability have primary relevance for a large class of software intensive systems that are intended for managing great volumes of data with a high degree of variety in the structure of contents. The attainment of these qualities can be largely facilitated by the assumption of a tailored software architecture.
The Reflection architectural pattern is an elegant reusable solution to design software applications based on a meta-model that provides a self-representation of the types used in the domain model. This provides significant benefits in terms of adaptability, maintainability, self-awareness, and direct involvement of domain experts in the configuration stage.
However, design by patterns does not account for performance as first-class requirement, and naturally incurs in well-known performance anti-patterns, which may become crucial when volume and variety must meet also velocity. The complexity is further exacerbated when the object oriented domain model is mapped to a relational database.
The aim of this dissertation is to address performance engineering of a meta-modeling architecture based on J2EE technological stack, documenting common performance issues connected to the persistence layer and proposing some solutions.
In this work are presented four selected performance anti-patterns about object-relational mapping strategies and proposed refactoring solutions. This research project also reports comparative experimental performance results attained by combining the pattern-based domain logic with a persistence layer based on NoSQL paradigm, and proposes techniques to identify and improve performance issues in a J2EE architecture.
Experimental results are obtained by applying proposed solutions in the concrete case of a real application of data management in Healthcare context based on Reflection architectural pattern. Those results indicate the gain obtained in several use cases by using refactoring actions in the relational database scenario, and by replacing the persistence layer with NoSql technology (in particular MongoDB) in the secondo scenario.
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Wang, Pao Hsiang, and 王寶翔. "Web 2.0 meta-architecture analysis incorporated into UML requirements modeling: By the Case of ETF platform." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/19304264962130738724.
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碩士國立政治大學
資訊管理研究所
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This paper had proposed the “Web 2.0 meta-architecture analysis framework”, a structured use case analysis for Web 2.0 application systems: We first defined Web 2.0 core concepts and develop the analysis framework. The framework includes two parts: the “Web 2.0 meta-model” and a two-step analysis process. In the first step, the process generates “Web 2.0 instance-models” from the Web 2.0 meta-model and system requirements, which can be transformed into UML use cases along with non-functional requirements analysis in the second step. This paper presented this framework under four-layered meta-data architecture, and demonstrated the framework by using the case of ETF marketing and discussion platform.
Book chapters on the topic "Meta-modeling architectures"
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Fu, Jiong, Aimin Luo, and Xueshan Luo. "An UML-Based Meta-modeling Method of Building Architecture Product." In Service Science and Knowledge Innovation, 210–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55355-4_21.
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Bhimineni, Ojaswi, Geda Sai Venkata Abhijith, and Srikanth Prabhu. "Cognitive Artificial Intelligence Computing Modeling Process in Meta Cognitive Architecture Carina." In Applications and Techniques in Information Security, 53–61. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1166-8_5.
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Kurtev, Ivan, and Klaas van den Berg. "MISTRAL: A Language for Model Transformations in the MOF Meta-modeling Architecture." In Lecture Notes in Computer Science, 139–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11538097_10.
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Lou, Benchao, and Qiang Sun. "Research on Analysis Architecture of Military Helicopter and Modeling Approach of Meta-Activity." In Lecture Notes in Electrical Engineering, 644–59. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7652-0_57.
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Betari, Oualid, Mohammed Erramdani, Sarra Roubi, Karim Arrhioui, and Samir Mbarki. "Model Transformations in the MOF Meta-Modeling Architecture: From UML to CodeIgniter PHP Framework." In Advances in Intelligent Systems and Computing, 227–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46568-5_23.
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Saidi, Abdessamad, Mohamed Hadj Kacem, Imen Tounsi, and Ahmed Hadj Kacem. "Adopting the Internet of Things Technology to Remotely Monitor COVID-19 Patients." In Lecture Notes in Computer Science, 166–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09593-1_13.
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AbstractThe coronavirus known as COVID-19 is the topic of the hour all over the world. This virus has invaded the world with its invariants, which are characterized by their rapid spread. COVID-19 has impacted the health of people and the economy of countries. For that, laboratories, researchers, and doctors are in a race against time to find a cure for this pandemic. To combat this virus, cutting-edge technologies such as artificial intelligence, cloud computing, and big data have been put in place. In our work, we use Internet of Things (IoT) technology. The use of IoT in an efficient way can lead to detecting infected people and avoiding being contaminated. In this paper, we are interested in the remote medical monitoring of patients who have tested positive for COVID-19. We propose a meta-modeling technique to model the IoT architecture. Then we implement two IoT solutions that permit the remote medical monitoring of patients infected with COVID-19 and the respect of social distancing by instantiating correct models that conform to the proposed meta-model in order to mitigate the COVID-19 outbreak.
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Merzweiler, Angela, Sebastian Stäubert, Alexander Strübing, Armel Tonmbiak, Knut Kaulke, Johannes Drepper, Björn Bergh, and Alfred Winter. "The Process of Modeling Information System Architectures with IHE." In German Medical Data Sciences: Bringing Data to Life. IOS Press, 2021. http://dx.doi.org/10.3233/shti210065.
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IHE has defined more than 200 integration profiles in order to improve the interoperability of application systems in healthcare. These profiles describe how standards should be used in particular use cases. These profiles are very helpful but their correct use is challenging, if the user is not familiar to the specifications. Therefore, inexperienced modelers of information systems quickly lose track of existing IHE profiles. In addition, the users of these profiles are often not aware of rules that are defined within these profiles and of dependencies that exist between the profiles. There are also modelers that do not notice the differences between the implemented actors, because they do not know the optional capabilities of some actors. The aim of this paper is therefore to describe a concept how modelers of information systems can be supported in the selection and use of IHE profiles and how this concept was prototypically implemented in the “Three-layer Graph-based meta model” modeling tool (3LGM2 Tool). The described modeling process consists of the following steps that can be looped: defining the use case, choosing suitable integration profiles, choosing actors and their options and assigning them to application systems, checking for required actor groupings and modeling transactions. Most of these steps were implemented in the 3LGM2 Tool. Further implementation effort and evaluation of our approach by inexperienced users is needed. But after that our tool should be a valuable tool for modelers planning healthcare information system architectures, in particular those based on IHE.
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Kim, T., S. Lee, J. Lee, and K. Kim. "Enterprise Architecture Framework for Agile and Interoperable Virtual Enterprises." In Handbook of Enterprise Systems Architecture in Practice, 62–84. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-189-6.ch004.
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Virtual enterprise (VE) has become a prime candidate to survive under the increasingly turbulent and competitive business environment. In order to quickly respond to the rapidly changing business environment, the agility and interoperability are regarded as the core requirements for the VEs. Unfortunately, there is no previous approach to fully support configurations of the agile and interoperable VE. The systematic modeling framework based on the meta-model driven approach could be used for business domain experts and developers to construct VE models quickly and systematically with insights. It should be noted that this chapter aims to present a systematic modeling framework itself, not to generate only instances of VE models. Based on the proposed framework, business domain experts and developers would configure all of VE models such as VE architectures, modeling languages, model transformations, and deployment models, as well as instances of VE models.
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Silva, Nuno, Pedro Sousa, and Miguel Mira da Silva. "Evolution of ArchiMate and ArchiMate Models." In New Perspectives on Information Systems Modeling and Design, 1–19. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7271-8.ch001.
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Models are a fundamental aspect of enterprise architecture, as they capture the concepts and relationships that describe the essentials of the different enterprise domains. These models are tightly coupled to an enterprise architecture modeling language that defines the rules for creating and updating such models. In the model-driven engineering field, these languages are formalized as meta-models. Over time, to keep up with the need to capture a more complex reality in their enterprise architecture models, organizations need to enrich the meta-model and, consequently, migrate the existing models. Model migration poses a strenuous modeling effort with the gathering of enterprise data and model redesign, leading to an error-prone and time-consuming task. In this chapter, the authors present a catalog of co-evolution operations for enabling automation of ArchiMate model migration based on a set of meta-model changes.
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Spadoni, M., and A. Abdmouleh. "Information Systems Architecture for Business Process Modeling." In Handbook of Enterprise Systems Architecture in Practice, 366–80. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-189-6.ch022.
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The purpose of this chapter is to present our contribution in business process modeling within the CAS (CIMOSA Application Server) project. In this project, a referential, which helps enterprises to model their internal or collaborative activities within an enterprise chain (i.e., extended enterprise) is proposed. The referential is supported by a meta-model, which consists of a process modeling concept and a methodology as a user modeling guide. Enterprise activities modeling is based on a business process approach CIMOSA-based and that we define into an enterprise system. In this manuscript, the implementation of the referential is detailed within an information system by a component approach and a framework, which integrates the modeling methodology. The referential components are developed with .NET Microsoft technology.
Conference papers on the topic "Meta-modeling architectures"
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Huber, Nikolaus, Andre van Hoorn, Anne Koziolek, Fabian Brosig, and Samuel Kounev. "S/T/A: Meta-Modeling Run-Time Adaptation in Component-Based System Architectures." In 2012 IEEE 9th International Conference on e-Business Engineering (ICEBE). IEEE, 2012. http://dx.doi.org/10.1109/icebe.2012.21.
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Xu, Yang, Shujin Laima, Hui Li, Na Li, Yao Jin, and Feiyang Han. "Machine Learning-based Structural Health Monitoring and Condition Assessment for Long-span Bridges." In IABSE Conference, Seoul 2020: Risk Intelligence of Infrastructures. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2020. http://dx.doi.org/10.2749/seoul.2020.033.
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<p>Machine learning (ML) provides a promising paradigm for discovering and modeling structural performances and conditions through the deep mining of structural health monitoring data. This paper exhibits recent progress of ML-based structural health monitoring and condition assessment for long-span bridges. A series of novel algorithms for bridge condition assessment via correlation modeling between structural responses, computer vision-assisted structural damage detection, and data mining for wind effects are introduced. First, correlation modeling between different bridge responses is investigated by both the time series data and probability distribution, further assisting bridge condition assessment. Second, several novel CNN architectures and a few-shot meta-learning framework are also established for CV-assisted bridge damage detection. Third, wind-induced vibrations of the bridge in site are identified and modeled to predicate structural responses and evaluate operation conditions. Results show that ML techniques indeed improve the state of the art in structural health monitoring and condition assessment for long-span bridges.</p>
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Bo¨ttcher, Martin. "Architecture for Integrated Service Systems." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59537.
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Even though the necessity of a holistic approach for service modeling is widely accepted no such approach is available by now. By analyzing existing service modeling approaches, service literature and by supervising an industrial project we identified several weak points within the field of service modeling. One main problem is the disregard of a clear separation of modeling levels (so called meta-levels). This leads to an unnecessary backlog within the field of service modeling as approaches are neither conformant to each other nor can they be compared. Therefore we suggest applying meta-levels (and corresponding technical spaces) within the area of service modeling, as known from other modeling domains. We outline the advantages of such an approach and we define which concepts are necessary for modeling services and what kind of impact they have on the idea of meta-levels within the service modeling domain.
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Dashofy, Eric, Hazel Asuncion, Scott Hendrickson, Girish Suryanarayana, John Georgas, and Richard Taylor. "ArchStudio 4: An Architecture-Based Meta-Modeling Environment." In 29th International Conference on Software Engineering. IEEE, 2007. http://dx.doi.org/10.1109/icsecompanion.2007.21.
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Fioravanti, Sara, Fulvio Patara, and Enrico Vicario. "Engineering the Performance of a Meta-modeling Architecture." In ICPE '17: ACM/SPEC International Conference on Performance Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3053600.3053647.
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Desnos, Karol, Maxime Pelcat, Jean-Francois Nezan, Shuvra S. Bhattacharyya, and Slaheddine Aridhi. "PiMM: Parameterized and Interfaced dataflow Meta-Model for MPSoCs runtime reconfiguration." In 2013 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIII). IEEE, 2013. http://dx.doi.org/10.1109/samos.2013.6621104.
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Basilio, Leandro Pereira, Priscilla Badega Machado, Débora Calaza de Sousa, Rafael Vinicius de Castro, Diego Russo Juliano, Pauline Santa Rosa Simões Drummond Boeira, and Marcelo Andreotti. "A Model-Based System Metaheuristic Engineering MBSME Approach in the Conceptual Selection of Offshore Production Units." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31308-ms.
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Abstract The objective of this paper is to present and discuss the philosophy behind the integration of "Model-Based Systems Engineering" (MBSE) with metaheuristic algorithms, referred to as "Model-Based Systems Metaheuristic Engineering" (MBSME), which has demonstrated high potential of techno-economic optimization of large capital projects in oil and gas industry, notably in the automatic and integrated conceptual design and selection of offshore systems architectures. Virtual modeling has always been an important part of systems engineering to support functional, performance and other engineering analysis. The so-called MBSME allows the simulation of several specific System-of-Systems physically addressed in offshore field development, bringing all the benefits of the traditional MBSE approach, and set a stochastic characteristic in the analysis, allowing the project team to focus on a Model-Centric approach, as well as to quickly understand the influence of several combined project strategies and application of different technologies, communicated through a Tradespace exploration map. Due to the characteristics associated with and the countless number of variables of the multidimensional problem addressed in an offshore field development, the integration of "Meta-Heuristic" algorithms with "Model-Based Systems Engineering" has demonstrated a remarkable efficiency and powerful applicability in the search for optimized design solutions in oil and gas industry, especially considering the processes of generation of conceptual alternatives of offshore production systems. This method leads to a reduction of more than 2/3 of the average time currently observed, with an increase in the number of conceptual alternatives evaluated in the order of tens to an order of thousands of options, in an automatic and integrated approach. Although the digital MBSME already developed addresses the combination of all technical disciplines associated with a complete offshore field development, the current work emphasizes the latest R&D achievements, addressing the automatic design and specification of Topside Facilities architecture, combined with the automatic selection of fitting for purpose Production Unit, based on internal requirements, such as the required capacity to support total weight and footprint imposed by the topside facilities’ modules, as well as external requirements, like water depth, surface metocean, type of well completion and oil storage requirements. An example of the MBSME application is presented, demonstrating a three-dimensional Tradespace exploration, relating Net Present Value (NPV), Capital Expenditure (CAPEX) and Breakeven Oil Price, through the application of a computational package in a hypothetical project, reflecting the design conditions of an offshore development in the Brazilian Pre-Salt region. The paper communicates an efficient method to increase the scope and accuracy of conceptual analyses, leading to the identification of the most favorable techno-economic conditions to the particularities of each project, supporting significant increases of return on investments.
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"DEFINING AN UNIFIED META MODELING ARCHITECTURE FOR DEPLOYMENT OF DISTRIBUTED COMPONENTS-BASED SOFTWARE APPLICATIONS." In 12th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002981403160321.
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Chen, Jinwei, Yuanfu Li, Zhenchao Hu, and Huisheng Zhang. "Study on Model-Based Systems Engineering Method for Modeling of Thermal Power System." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23867.
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Abstract Thermal power systems, particularly with large capacity and high operating parameters, are more and more complicated nowadays, which include machinery, electronics, electrical, hydraulic, thermal, control, and process-oriented subsystems. The traditional development method based on documents has the problems of difficulty to reuse the designed elements, weak traceability of requirements, and lack of top-level logic verification. Moreover, there is a large gap because different models, tools and terminology are used during design process. The gap results in inefficiencies and quality issues that can be very expensive. In this paper, a model-based systems engineering (MBSE) approach is introduced for the top-down design flow of thermal power systems. The MBSE method can perfected the requirement definition, complete the mapping of the requirements to the system elements, realize the function logic verification, and support requirements verification at all stages. A GOPPRR (graph, object, point, property, role, relationship) meta-modeling method is proposed to support the MBSE formalisms. An Architecture Analysis and Design Integrated Approach (Arcadia) framework is adopted to capture the complex architecture, which is a standardized modeling method including requirement analysis, function analysis, logic analysis, and architecture design. Based on the architecture-driven algorithm and code generation, the standardized modeling process can establish a traceable relationship at each design stage and can verify the availability of initial requirements. Moreover, the designed elements of previous work can be reused in other relative design processes. The proposed MBSE method in this paper is applied to establish a gas turbine performance simulation model. The entire modeling process is enhanced by managing the relative design information consistently. The performance of the design process with MBSE method is analyzed and compared from different aspects. The results show that the performance simulation model of the power system established by the MBSE method can effectively describe the requirements, functions, logic, and architecture during design process. Based on the MBSE method, the requirements of the system are refined, traced and verified.
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Jesko, Dirk, and Georg Paul. "Distributed Modeling in Engineering: Towards a Tool-Supported Integration of Notations Using Meta Object Facilities." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/cie-21245.
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Abstract The development of modern products is characterized by the participation of multiple developers from different domains. Further, the development is usually distributed over different companies. One characteristic that derives from this heterogenous environment is the application of different methods, notations, and software tools during the development process. Although many tasks are supported by software, especially modeling tools lack a support for using different notation and the independent specification of development artifacts. In this paper we will describe an approach for the integration of different notations using a metamodel based on the Meta Object Facilities (MOF). The independent specification of system artifacts is thereby achieved by applying the ViewPoint framework. The main focus of the paper is the discussion of defining the concepts of the ViewPoint framework within a metamodeling architecture. Further, the overall structure of the metamodel will be described. Finally, the components of a software system supporting the management of the metamodel and the actual development using ViewPoints is presented.