Les appareils modernes sont constitués de plusieurs sous-systèmes de différentes sortes qui communiquent et interagissent. L'hétérogénéité de ces sous-systèmes et leurs interactions complexes rendent très délicate leur développement. L'approche d'ingénierie dirigée par les modèles apporte une solution en permettant l'expression de nombreux modèles structurels et comportementaux de natures très diverses. Dans ce contexte, il est nécessaire de construire un modèle unique qui intègre ces différents modèles afin d'y appliquer des méthodes de validation et de vérification pour permettre aux ingénieurs système de comprendre et de valider un comportement global. Cependant, la coordination manuelle des différents modèles qui composent le système est une opération source d'erreurs et les approches automatiques proposent des patrons de coordination ad-hoc pour certaines paires de langages. Dans ces approches, le patron de coordination est souvent encapsulé dans un outil dont il est difficile d'extraire les liens avec le système global. Cette thèse propose le Behavioral Coordination Operator Language (BCOoL), un langage dédié à la spécification de patrons de coordination entre des langages à partir de la définition d'opérateurs de coordination. Ces opérateurs sont employés afin d'automatiser la coordination de modèles exprimés dans ces langages. BCOoL est implémenté comme une suite de plugins qui s'appuient sur l'Eclipse Modeling Framework et présente ainsi un environnement complet pour l'exécution et la vérification de différents modèles coordonnés. / Modern devices embed several subsystems with different characteristics that communicate and interact in many ways. This makes its development complex since a designer has to deal with the heterogeneity of each subsystem but also with the interaction between them. To tackle the development of complex systems, Model Driven Engineering promotes the use of various, possibly heterogeneous, structural and behavioral models. In this context, the coordination of behavioral models to produce a single integrated model is necessary to provide support for validation and verification. It allows system designers to understand and validate the global and emerging behavior of the system. However, the manual coordination of models is tedious and error-prone, and current approaches to automate the coordination are bound to a fixed set of coordination patterns. Moreover, they encode the pattern into a tool thus limiting reasoning on the global system behavior. In this thesis, we propose a Behavioral Coordination Operator Language (B-COoL) to reify coordination patterns between specific domains by using coordination operators between the Domain-Specific Modeling Languages used in these domains. Those operators are then used to automate the coordination of models conforming to these languages. B-COoL is implemented as plugins for the Eclipse Modeling Framework thus providing a complete environment to execute and verify coordinated models. We illustrate the use of B-COoL with the definition of coordination operators between timed finite state machines and activity diagrams. We then use these operators to coordinate and execute the heterogeneous models of a surveillance camera system.

Submitted by Marlene Santos (marlene.bc.ufg@gmail.com) on 2016-03-22T17:53:33Z No. of bitstreams: 2 Dissertação - Gustavo Cipriano Mota Sousa - 2012.pdf: 2362932 bytes, checksum: 554bee516fc979b416ec8ff1b253e521 (MD5) license_rdf: 19874 bytes, checksum: 38cb62ef53e6f513db2fb7e337df6485 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-03-23T14:15:40Z (GMT) No. of bitstreams: 2 Dissertação - Gustavo Cipriano Mota Sousa - 2012.pdf: 2362932 bytes, checksum: 554bee516fc979b416ec8ff1b253e521 (MD5) license_rdf: 19874 bytes, checksum: 38cb62ef53e6f513db2fb7e337df6485 (MD5) / Made available in DSpace on 2016-03-23T14:15:40Z (GMT). No. of bitstreams: 2 Dissertação - Gustavo Cipriano Mota Sousa - 2012.pdf: 2362932 bytes, checksum: 554bee516fc979b416ec8ff1b253e521 (MD5) license_rdf: 19874 bytes, checksum: 38cb62ef53e6f513db2fb7e337df6485 (MD5) Previous issue date: 2012-10-09 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / Fundação de Amparo à Pesquisa do Estado de Goiás - FAPEG / The combination of domain-specific modeling languages and model-driven engineering techniques hold the promise of a breakthrough in the way applications are developed. By raising the level of abstraction and specializing in building blocks that are familiar in a particular domain, it has the potential to turn domain experts into application developers. Applications are developed as models, which in turn are interpreted at runtime by a specialized execution engine in order to produce the intended behavior. In this approach models are processed by domain-specific execution engines that embed knowledge about how to execute the models. This approach has been successfully applied in different domains, such as communication and smart grid management to execute applications described by models that can be created and changed at runtime. However, each time the approach has to be realized in a different domain, substantial re-implementation has to take place in order to put together an execution engine for the respective DSML. In this work, we present a generalization of the approach in the form of a metamodel that captures the domain-independent aspects of runtime model interpretation and allow the definition of a particular class of domain-specific execution engines which provide a highlevel service upon an underlying set of heterogenous set of resources. / Abordagens de engenharia de software dirigida por modelos propõem o uso de modelos como uma forma de lidar com a crescente complexidade das aplicações atuais. Por meio de linguagens de modelagem específicas de domínio, essas abordagens visam elevar o nível de abstração utilizado na engenharia de software, possibilitando que usuários que conheçam o domínio de negócio sejam capazes de construir aplicações. As aplicações são definidas como modelos que são então processados de forma automatizada por mecanismos capazes de executá-los. Essa abordagem tem sido aplicada em domínios como comunicação e redes elétricas inteligentes para possibilitar a construção de aplicações por meio de modelos que podem ser criados e modificados em tempo de execução. Nessa abordagem, modelos são processados por máquinas de execução específicas de domínio, que encapsulam o conhecimento necessário para executá-los. No entanto, a aplicação dessa mesma abordagem em outros domínios exige que novas máquinas de execução sejam implementadas por completo, o que exige um grande esforço de implementação. Neste trabalho, apresentamos uma abordagem dirigida por modelos para a construção dessas máquinas de execução de modelos. Essa abordagem propõe um metamodelo que captura os aspectos independentes de domínio de uma classe particular de máquinas de execução de modelos, os quais descrevem aplicações baseadas no provimento de serviços a partir de um conjunto heterogêneo de recursos. A partir do metamodelo proposto, podem ser construídos modelos que definem máquinas de execução para domínios específicos, as quais são capazes de executar modelos descritos na linguagem de modelagem específica do domínio em questão.

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Indiana University-Purdue University Indianapolis (IUPUI) / This thesis investigates integrating recommender systems into model-driven engineering tools powered by domain-specific modeling languages. The objective of integrating recommender systems into such tools is overcome a shortcoming of proactive modeling where the modeler must inform the model intelligence engine how to progress when it cannot automatically determine the next modeling action to execute (e.g., add, delete, or edit). To evaluate our objective, we integrated a recommender system into the Proactive Modeling Engine, which is a add-on for the Generic Modeling Environment (GME). We then conducted experiments to both subjective and objectively evaluate the enhancements to the Proactive Modeling Engine. The results of our experiments show that integrating recommender system into the Proactive Modeling Engine results in an Average Reciprocal Hit-Rank (ARHR) of 0.871. Likewise, the integration results in System Usability Scale (SUS) rating of 77. Finally, user feedback shows that the integration of the recommender system to the Proactive Modeling Engine increases the usability and learnability of domain-speci c modeling tools.

Software tools are being used by experts in a variety of domains. There are numerous software modeling environments tailored to a specific domain expertise. However, there is no consistent approach to generically synthesize a product line of such modeling environments that also take into account the user interaction and experience adapted to the domain. The focus of my thesis is the proposal of a solution to explicitly model user interfaces and interaction of modeling environments so that they can be tailored to the habits and preferences of domain experts. We extend current model-driven engineering techniques that synthesize graphical modeling environments to also take interaction models into account. The formal semantics of our language framework is based on statecharts. We define a development process for generating such modeling environments to maximize reuse through a novel statechart refinement technique. / Les outils logiciels sont utilisés par des experts dans une variété de domaines. Il existe de nombreux environnements de modélisation logicielle adaptés á une expertise spécifique. Cependant, il n’existe pas d’approche cohérente pour synthétiser génériquement une ligne de produits de tels environnements de modélisation qui prennent également en compte l’interaction et l’expérience utilisateur adaptées au domaine. L’objectif de ma thése est la proposition d’une solution pour modéliser explicitement les interfaces utilisateur et l’interaction des environnements de modélisation afin qu’ils puissent étre adaptés aux habitudes et aux préférences des experts du domaine. Nous étendons les techniques d’ingénierie actuelles pilotées par un modéle qui synthétisent des environnements de modélisation graphique pour prendre également en compte les modèles d’interaction. La sémantique formelle de notre cadre linguistique est basée sur des statecharts. Nous définissons un processus de développement pour générer de tels environnements de modélisation afin de maximiser la réutilisation à travers une nouveau technique de raffinement de statecharts.