Papyrus, EATOP, and MetaEdit+: a comparison between the EAST-ADL modeling tools

Several Architecture Description Languages (ADLs) are emerging as models to describe and represent system architectures. Among others, EAST-ADL language is highlighted. It represents an abstraction of embedded software systems for automobiles. Given the need to implement the EAST-ADL language, there are many modeling tools to perform this task. The scope of this thesis is a detailed comparison of three EAST-ADL editors: Papyrus, EATOP and MetaEdit +, providing a conceptual framework, describing the comparison criteria, and finally exemplifying thanks to the Brake-By-Wire use case which has been provided, and whose development is not the subject of this project. The motivation for developing this project is to provide comparison guide between these three modeling tools to facilitate developers choice when deciding the tool in which develop their work. RESUMEN. Diversos Lenguajes de Descripción de Arquitecturas (ADLs) están surgiendo como modelos para describir y representar arquitecturas de sistemas. Entre ellos es destacado el lenguaje EAST-ADL, que representa una abstracción de los sistemas de software embebido para automóviles. Ante la necesidad de implementar el lenguaje EAST-ADL, han surgido diversas herramientas de modelado que llevan a cabo esta tarea. El alcance de este proyecto consiste en una comparación detallada de tres editores EAST-ADL: Papyrus, EATOP y MetaEdit+, proporcionando un marco conceptual, describiendo los criterios de comparación y finalmente ejemplificando con el caso de uso Brake-By-Wire que nos ha sido proporcionado, y cuyo desarrollo no es sujeto de este proyecto. La motivación para desarrollar este proyecto parte de proporcionar al usuario una guía comparativa de estas tres herramientas de modelado para facilitar su elección a la hora de desarrollar su trabajo

Data flow analysis from UML/MARTE models based on binary traces

The design of increasingly complex embedded systems requires powerful solutions from the very beginning of the design process. Model Based Design (MBD) and early simulation have proven to be capable technologies to perform initial design space analysis to optimize system design. Traditional MBD methods and tools typically rely on fixed elements, which makes difficult the evaluation of different platform configurations, communication alternatives or models of computation. Addressing these challenges require flexible design technologies able to support, from a high-level abstract model, full design space exploration, including system specification, binary generation and performance evaluation. In this context, this paper proposes a UML/MARTE based approach able to address the challenges mentioned above by improving design flexibility and evaluation capabilities, including automatic code generation, trace execution collection and trace analysis from the initial UML models. The approach focuses on the definition and analysis of the paths data follow through the different application components, as a way to understand the behavior or the different design solutions.This work has been funded by the EU and the Spanish MICINN/AEI through the ECSEL Comp4Drones and the TEC2017-86722-C4-3-R PLATINO projects

A Vision for Flexibile GLSP-based Web Modeling Tools

In the past decade, the modeling community has produced many feature-rich modeling editors and tool prototypes not only for modeling standards but particularly also for many domain-specific languages. More recently, however, web-based modeling tools have started to become increasingly popular for visualizing and editing models adhering to such languages in the industry. This new generation of modeling tools is built with web technologies and offers much more flexibility when it comes to their user experience, accessibility, reuse, and deployment options. One of the technologies behind this new generation of tools is the Graphical Language Server Platform (GLSP), an open-source client-server framework hosted under the Eclipse foundation, which allows tool providers to build modern diagram editors for modeling tools that run in the browser or can be easily integrated into IDEs such as Eclipse, VS Code, or Eclipse Theia. In this paper, we describe our vision of more flexible modeling tools which is based on our experiences from developing several GLSP-based modeling tools. With that, we aim at sparking a new line of research and innovation in the modeling community for modeling tool development practices and to explore opportunities, advantages, or limitations of web-based modeling tools, as well as bridge the gap between scientific tool prototypes and industrial tools being used in practice.Comment: 8 pages, 5 figure

Supporting Collaborative Development Using Process Models: A Tool Integration-Focused Approach

International audienceCollaboration in software engineering projects is usually intensive and requires adequate support by well-integrated tools. However, process-centered software engineering environ ments (PSEE) have traditionallybeen designed to exploit integration facilities in other tools, while offering themselves little to no such facilities.This is in line with the vision of the PSEE as the central orchestrator of project support tools. We argue that thisview has hindered the widespread adoption of process-based collaboration support tools by incurring too muchadoption and switching costs. We propose a new process-based collaboration support architecture, backed by aprocess metamodel, that can easily be integrated with existing tools. The proposed architecture revolves aroundthe central concepts of ‘deep links’ and ‘hooks’. Our approach is validated by analyzing a collection of open-source projects, and integration utilities based on the implemented process model server have been developed

The Cord Approach to Extensible Concurrency Control

Database management systems (DBMSs) have been increasingly used for advanced application domains, such as software development environments, workflow management systems, computer-aided design and manufacturing, and managed healthcare. In these domains, the standard correctness model of serializability is often too restrictive. The authors introduce the notion of a concurrency control language (CCL) that allows a database application designer to specify concurrency control policies to tailor the behavior of a transaction manager. A well-crafted set of policies defines an extended transaction model. The necessary semantic information required by the CCL run-time engine is extracted from a task manager, a (logical) module by definition included in all advanced applications. This module stores task models that encode the semantic information about the transactions submitted to the DBMS. They have designed a rule-based CCL, called CORD, and have implemented a run-time engine that can be hooked to a conventional transaction manager to implement the sophisticated concurrency control required by advanced database applications. They present an architecture for systems based on CORD and describe how they integrated the CORD engine with the Exodus Storage Manager to implement altruistic locking

Model-Driven Engineering for Artificial Intelligence - A Systematic Literature Review

Objective: This study aims to investigate the existing body of knowledge in the field of Model-Driven Engineering MDE in support of AI (MDE4AI) to sharpen future research further and define the current state of the art. Method: We conducted a Systemic Literature Review (SLR), collecting papers from five major databases resulting in 703 candidate studies, eventually retaining 15 primary studies. Each primary study will be evaluated and discussed with respect to the adoption of (1) MDE principles and practices and (2) the phases of AI development support aligned with the stages of the CRISP-DM methodology. Results: The study's findings show that the pillar concepts of MDE (metamodel, concrete syntax and model transformation), are leveraged to define domain-specific languages (DSL) explicitly addressing AI concerns. Different MDE technologies are used, leveraging different language workbenches. The most prominent AI-related concerns are training and modeling of the AI algorithm, while minor emphasis is given to the time-consuming preparation of the data sets. Early project phases that support interdisciplinary communication of requirements, such as the CRISP-DM \textit{Business Understanding} phase, are rarely reflected. Conclusion: The study found that the use of MDE for AI is still in its early stages, and there is no single tool or method that is widely used. Additionally, current approaches tend to focus on specific stages of development rather than providing support for the entire development process. As a result, the study suggests several research directions to further improve the use of MDE for AI and to guide future research in this area