Un modèle de programmation intégrant classes, événements et aspects

Object-Oriented Programming (OOP) has become the de facto programming paradigm. Event-Based Programming (EBP) and Aspect-Oriented Programming (AOP) complement OOP, covering some of its deficiencies when building complex software. Today's applications combine the three paradigms. However, OOP, EBP and AOP have not yet been properly integrated. Their underlying concepts are in general provided as distinct language constructs, whereas they are not completely orthogonal. This lack of integration and orthogonality complicates the development of software as it reduces its understandability, its composability and increases the required glue code. This thesis proposes an integration of OOP, EBP and AOP leading to a simple and regular programming model. This model integrates the notions of class and aspect, the notions of event and join point, and the notions of piece of advice, method and event handler. It re- duces the number of language constructs while keeping expressiveness and offering additional programming options. We have designed and implemented two programming languages based on this model: EJava and ECaesarJ. EJava is an extension of Java implementing the model. We have validated the expressiveness of this language by implementing a well-known graphical editor, JHotDraw, reducing its glue code and improving its design. ECaesarJ is an extension of CaesarJ that combines our model with mixins and language support for state machines. This combination was shown to greatly facilitate the implementation of a smart home application, an industrial- strength case study that aims to coordinate different devices in a house and automatize their behaviors.Le paradigme de la programmation par objets (PPO) est devenu le paradigme de programmation le plus utilisé. La programmation événementielle (PE) et la programmation par aspects (PPA) complètent la PPO en comblant certaines de ses lacunes lors de la construction de logiciels complexes. Les applications actuelles combinent ainsi les trois paradigmes. Toutefois, la POO, la PE et la POA ne sont pas encore bien intégrées. Leurs concepts sous-jacents sont en général fournis sous la forme de constructions syntaxiques spécifiques malgré leurs points communs. Ce manque d'intégration et d'orthogonalité complique les logiciels car il réduit leur compréhensibilité et leur composabilité, et augmente le code d'infrastructure. Cette thèse propose une intégration de la PPO, de la PE et de la PPA conduisant à un modèle de programmation simple et régulier. Ce modèle intègre les notions de classe et d'aspect, les notions d'événement et de point de jonction, et les notions d'action, de méthode et de gestionnaire d'événements. Il réduit le nombre de constructions tout en gardant l'expressivité initiale et en offrant même des options de programmation supplémentaires. Nous avons conçu et mis en œuvre deux langages de programmation basés sur ce modèle : EJava et ECaesarJ. EJava est une extension de Java implémentant le modèle. Nous avons validé l'expressivité de ce langage par la mise en œuvre d'un éditeur graphique bien connu, JHotDraw, en réduisant le code d'infrastructure nécessaire et en améliorant sa conception. ECaesarJ est une extension de CaesarJ qui combine notre modèle avec de la composition de mixins et un support linguistique des machines à états. Cette combinaison a grandement facilité la mise en œuvre d'une application de maison intelligente, une étude de cas d'origine industrielle dans le domaine de la domotique

Application of Hybrid Agents to Smart Energy Management of a Prosumer Node

We outline a solution to the problem of intelligent control of energy consumption of a smart building system by a prosumer planning agent that acts on the base of the knowledge of the system state and of a prediction of future states. Predictions are obtained by using a synthetic model of the system as obtained with a machine learning approach. We present case studies simulations implementing different instantiations of agents that control an air conditioner according to temperature set points dynamically chosen by the user. The agents are able of energy saving while trying to keep indoor temperature within a given comfort interval

The Structured Process Modeling Theory (SPMT): a cognitive view on why and how modelers benefit from structuring the process of process modeling

After observing various inexperienced modelers constructing a business process model based on the same textual case description, it was noted that great differences existed in the quality of the produced models. The impression arose that certain quality issues originated from cognitive failures during the modeling process. Therefore, we developed an explanatory theory that describes the cognitive mechanisms that affect effectiveness and efficiency of process model construction: the Structured Process Modeling Theory (SPMT). This theory states that modeling accuracy and speed are higher when the modeler adopts an (i) individually fitting (ii) structured (iii) serialized process modeling approach. The SPMT is evaluated against six theory quality criteria

D7.5 FIRST consolidated project results

The FIRST project commenced in January 2017 and concluded in December 2022, including a 24-month suspension period due to the COVID-19 pandemic. Throughout the project, we successfully delivered seven technical reports, conducted three workshops on Key Enabling Technologies for Digital Factories in conjunction with CAiSE (in 2019, 2020, and 2022), produced a number of PhD theses, and published over 56 papers (and numbers of summitted journal papers). The purpose of this deliverable is to provide an updated account of the findings from our previous deliverables and publications. It involves compiling the original deliverables with necessary revisions to accurately reflect the final scientific outcomes of the project