Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
Combining fUML and Profiles for Non-Functional Analysis Based on Model Execut...Luca Berardinelli
For developing software systems it is crucial to consider non-functional properties already in an early development stage to guarantee that the system will satisfy its non-functional requirements.
Following the model-based engineering para\-digm facilitates an early analysis of non-functional properties of the system being developed based on the elaborated design models.
Although UML is widely used in model-based engineering, it is not suitable for model-based analysis directly due to its lack of formal semantics.
Thus, current model-based analysis approaches transform UML models into formal languages dedicated for analyses purpose, which may introduce accidental complexity of implementing the required model transformations.
The recently introduced fUML standard provides a formal semantics of a subset of UML enabling the execution of UML models.
In this paper, we show how fUML can be utilized for analyzing UML models directly without having to transform them.
We present a reusable framework for performing model-based analyses leveraging execution traces of UML models and integrating UML profiles heretofore unsupported by fUML.
A case study in the performance analysis domain is used to illustrate the benefits of our framework.
Combining fUML and Profiles for Non-Functional Analysis Based on Model Execut...Luca Berardinelli
For developing software systems it is crucial to consider non-functional properties already in an early development stage to guarantee that the system will satisfy its non-functional requirements.
Following the model-based engineering para\-digm facilitates an early analysis of non-functional properties of the system being developed based on the elaborated design models.
Although UML is widely used in model-based engineering, it is not suitable for model-based analysis directly due to its lack of formal semantics.
Thus, current model-based analysis approaches transform UML models into formal languages dedicated for analyses purpose, which may introduce accidental complexity of implementing the required model transformations.
The recently introduced fUML standard provides a formal semantics of a subset of UML enabling the execution of UML models.
In this paper, we show how fUML can be utilized for analyzing UML models directly without having to transform them.
We present a reusable framework for performing model-based analyses leveraging execution traces of UML models and integrating UML profiles heretofore unsupported by fUML.
A case study in the performance analysis domain is used to illustrate the benefits of our framework.
This presentation on Object-Oriented Application Frameworks is part of a larger course LINGI2252 on Software Maintenance and Evolution, given at UCL university in Belgium.
Devnology Back to School: Empirical Evidence on Modeling in Software DevelopmentDevnology
Modeling is a common part of modern day software engineering practice. Little scientific evidence is known about how models are made and how they help in producing better software. In this talk Michel Chaudron presents highlights from a decade of research that he has performed in the area of software modeling using UML. Topics that will be addressed: What is the state of UML modeling in practice? What are effective techniques for assessing the quality of UML models? How do engineers look at UML models? Do UML models actually help in creating better software?
MODEL DRIVEN ARCHITECTURE, CONTROL SYSTEMS AND ECLIPSEAnže Vodovnik
This paper describes the use of model driven architecture and its application in control system development. It also presents a prototype solution based on the Eclipse framework implemented by the author.
Anže Vodovnik, Klemen Žagar, Cosylab, Ljubljana, Slovenija
Model-Driven Generation of MVC2 Web Applications: From Models to CodeIJEACS
Computer systems engineering is based,
increasingly, on models. These models permit to describe the
systems under development and their environment at different
abstraction levels. These abstractions allow us to conceive
applications independently of target platforms. For a long
time, models have only constituted a help for human users,
allow to manually develop the final code of computer
applications. The Model-Driven Engineering approach (MDE)
consists of programming at the level of models, represented as
an instance of a meta-model, and using them for generating the
end code of applications. The MDA (Model-Driven
Architecture) is a typical model-driven engineering approach
to application design. MDA is based on the UML standard to
define models and on the meta-modeling environment (MOF)
[1] for model-level programming and code generation. The
code generation operation is the subject of this paper. Thus, in
this work, we explain the code generation of MVC2 Web
application by using the M2M transformation (ATL
transformation language) then the M2T transformation. To
implement this latter we use the Acceleo generator which is a
generator language. In the M2T transformation, we use the
PSM model of Struts2 already generated by M2M
transformation as an input model of Acceleo generator. This
transformation is validated by a case study. The main goal of
this paper is to achieve the end-to-end code generation.
سيستمهاي اطلاعاتي مديريت پيشرفته سرلك فراتي فصل يك_ محسن ترابي كمالمحسن ترابي كمال
ارايه براي فصل نخست از كتاب "سيستمهاي اطلاعاتي مديريت پيشرفته" اثر سرلك و فراتي - ارايه در كلاس سيستمهاي اطلاعاتي دكتر مبارك آبادي در دانشگاه آزاد همدان دوره كارشناسي ارشد مديريت اجرايي گرايش استراتژي، توسط محسن ترابي كمال.
This presentation on Object-Oriented Application Frameworks is part of a larger course LINGI2252 on Software Maintenance and Evolution, given at UCL university in Belgium.
Devnology Back to School: Empirical Evidence on Modeling in Software DevelopmentDevnology
Modeling is a common part of modern day software engineering practice. Little scientific evidence is known about how models are made and how they help in producing better software. In this talk Michel Chaudron presents highlights from a decade of research that he has performed in the area of software modeling using UML. Topics that will be addressed: What is the state of UML modeling in practice? What are effective techniques for assessing the quality of UML models? How do engineers look at UML models? Do UML models actually help in creating better software?
MODEL DRIVEN ARCHITECTURE, CONTROL SYSTEMS AND ECLIPSEAnže Vodovnik
This paper describes the use of model driven architecture and its application in control system development. It also presents a prototype solution based on the Eclipse framework implemented by the author.
Anže Vodovnik, Klemen Žagar, Cosylab, Ljubljana, Slovenija
Model-Driven Generation of MVC2 Web Applications: From Models to CodeIJEACS
Computer systems engineering is based,
increasingly, on models. These models permit to describe the
systems under development and their environment at different
abstraction levels. These abstractions allow us to conceive
applications independently of target platforms. For a long
time, models have only constituted a help for human users,
allow to manually develop the final code of computer
applications. The Model-Driven Engineering approach (MDE)
consists of programming at the level of models, represented as
an instance of a meta-model, and using them for generating the
end code of applications. The MDA (Model-Driven
Architecture) is a typical model-driven engineering approach
to application design. MDA is based on the UML standard to
define models and on the meta-modeling environment (MOF)
[1] for model-level programming and code generation. The
code generation operation is the subject of this paper. Thus, in
this work, we explain the code generation of MVC2 Web
application by using the M2M transformation (ATL
transformation language) then the M2T transformation. To
implement this latter we use the Acceleo generator which is a
generator language. In the M2T transformation, we use the
PSM model of Struts2 already generated by M2M
transformation as an input model of Acceleo generator. This
transformation is validated by a case study. The main goal of
this paper is to achieve the end-to-end code generation.
سيستمهاي اطلاعاتي مديريت پيشرفته سرلك فراتي فصل يك_ محسن ترابي كمالمحسن ترابي كمال
ارايه براي فصل نخست از كتاب "سيستمهاي اطلاعاتي مديريت پيشرفته" اثر سرلك و فراتي - ارايه در كلاس سيستمهاي اطلاعاتي دكتر مبارك آبادي در دانشگاه آزاد همدان دوره كارشناسي ارشد مديريت اجرايي گرايش استراتژي، توسط محسن ترابي كمال.
Une rapide introduction au développement dirigé par les modèles (MDA/MDD) et à ses bénéfices. Présentation de l'approche implémentée par le logiciel RTaW-Generator.
Collaborative modeling and co simulation with destecs - a pilot studyDaniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
Modules for reusable and collaborative modeling of biological mathematical sy...Daniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
ModelicaML Value Bindings for Automated Model CompositionDaniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
Automated Performance Analysis of Business ProcessesDaniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
Collaborative engineering solutions and challenges in the development of spac...Daniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
Validation of Spacecraft Behaviour Using a Collaborative ApproachDaniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
jEQN a java-based language for the distributed simulation of queueing networksDaniele Gianni
Presentation at the ISCIS 2006 Conference in Istanbul, Turkey.
Simulation language for Extended Queueing Networks on IEEE HLA infrastructures.
For further info, please visit:
https://sites.google.com/site/simulationarchitecture/
A vision on collaborative computation of things for personalized analysesDaniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
A framework for distributed control and building performance simulationDaniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
SysML to Discrete-event Simulation to Analyze Electronic Assembly SystemsDaniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
Workshop presentation in DSim Day, research event on Distributed Simulation, Rome, Italy, March, 2010.
Please visit:
https://sites.google.com/site/simulationarchitecture/
for further information.
Using Model-Driven Engineering for Decision Support Systems Modelling, Implem...CSCJournals
Following the principle of everything is object, software development engineering has moved towards the principle of everything is model, through Model Driven Engineering (MDE). Its implementation is based on models and their successive transformations, which allow starting from the requirements specification to the code’s implementation. This engineering is used in the development of information systems, including Decision-Support Systems (DSS). Here we use MDE to propose an DSS development approach, using the Multidimensional Canonical Partitioning (MCP) design approach and a design pattern. We also use model’s transformation in order to obtain not only implementation codes, but also data warehouse feeds.
Software Architecture: views and viewpointsHenry Muccini
This is an introductory lecture to Software Architecture Views and Viewpoints, part of the Advanced Software Engineering course, at the University of L'Aquila, Italy (www.di.univaq.it/muccini/SE+/2012)
The road ahead for architectural languages [ACVI 2016]Ivano Malavolta
5th of April 2016. My presentation done at the 3rd Architecture Centric Virtual Integration Workshop (ACVI) workshop, co-located with WICSA and Comparch 2016, Venice, Italy.
Accompanying paper: http://www.ivanomalavolta.com/files/papers/IEEESoftware_2015.pdf
A World in Motion – The challenges in Systems Engineering in the age of complexity
Stephan Roth, oose Innovative Informatik eG, Hamburg
05.09.2014
FridayNight Experts Talk about Systems Engineering, Dockland Hamburg, hosted by Nordakademiker e.V.
Introduction to Model-Based Systems Engineering (MBSE) CourseTonex
Model-based systems engineering (MBSE), as a formal application of modeling to support system requirements, design, analysis, verification and validation activities, starting from the conceptual design stage and continuing to the entire development stage and subsequent life cycle stages
When the systems engineer defines or creates something during a diagram, the SysML tool maintains consistency altogether the opposite diagrams during a process called traceability.
The advantage of MBSE and SysML is that the ability to make models/diagrams for the system rather than using documents.
The reasons for his or her popularity are
MBSE gives a uniform way of capturing and managing the system’s requirements, architecture, design, and processes
Facilitates communication among various stakeholders by providing discipline-specific views for various purposes
Allows detecting defects early within the system development life cycle
Can function one source of truth for systems engineers and other team members
Allows exploring multiple solutions with minimal investment.
12 Industries stand to profit from the MBSE approach:
Transportation and Mobility
Aerospace and Defense
Industrial Equipment
Energy and Utilities
Architecture and Construction
Life Sciences
High-tech
Marine and Offshore
Financial and Business Services
Consumer Goods and Retail
Natural Resources
Consumer Packaged Goods and Retail.
Introduction to Model-Based Systems Engineering (MBSE) Course by Tonex
Learn about modeling, modeling applied to systems engineering, system modeling language (SysML) applications, etc.
Audience:
Developers
Systems Engineers
Testers
Project Managers
Analysts
Anyone else who wants to learn the application of modeling to modern systems engineering practices.
Learning Objectives
Explain models and Model-Based Systems Engineering (MBSE)
Express what SysML is
Explore model-based systems engineering approach
List SysML diagrams and language concepts
Apply SysML as part of a model based SE process applied to design and manufacturing
Expand a system conceptual model and architecture using MBSE/SysML
Describe system use cases, requirements, architecture, function, structure, behavior and tests with SysML
Explain the notions of system, product, service, and project with SysML
Model a combined Project-Product Life cycle Management system and study the benefits of the project-product synergies with SysML
Work with real life projects using MBSE approach with SysML
Course Agenda
Model Based Systems Engineering (SE) Overview
Model-based systems engineering (MBSE) vs. Document-Based Systems Engineering
SysML Overview
Diagram Techniques of SysML
Working with MBSE and SysML
Workshop
Learn more:
https://www.tonex.com/training-courses/introduction-to-model-based-systems-engineering-mbse/
http://link.springer.com/chapter/10.1007%2F978-3-540-88875-8_108
This paper introduces an approach for abstracting access to functionality in Pervasive Computing systems where very different types of devices co-exist. Tiny, resource-poor 8-bit based wireless embedded sensor nodes use highly fragmented programming, with code distributed over possibly hundreds of nodes. More powerful devices as mobile, handled devices, laptops or even server use coarse-grained distribution. The Implicit Middleware approach provides a way to both unify and simplify middleware for Pervasive Computing systems, by means of transparently distributing functionality in the system and making them context aware. The approach ensures optimized run-time behavior and adaptation to the system landscape. We also present an implementation using the XMLVM representation for code generation, and an evaluation running on PCs, J2ME CLDC 1.0 compatible 32Bit sensor nodes and 8Bit-MCU based nodes with an optimized light-weight VM.
Innoslate is a full lifecycle systems engineering tool that provides you with the capability to perform requirements analysis, functional and physical modeling, simulation, testing, and more all in one place.
This is a one day workshop presentation, primarily on the new OMG Foundational UML specification for executable model semantics, but also discussing extensions for executable SysML (System Modeling Language) models.
an analysis and new methodology for reverse engineering of uml behavioralINFOGAIN PUBLICATION
The emergence of Unified Modeling Language (UML) as a standard for modeling systems has encouraged the use of automated software tools that facilitate the development process from analysis through coding. Reverse Engineering has become a viable method to measure an existing system and reconstruct the necessary model from its original. The Reverse Engineering of behavioral models consists in extracting high-level models that help understand the behavior of existing software systems. In this paper we present an ongoing work on extracting UML diagrams from object-oriented programming languages. we propose an approach for the reverse engineering of UML behavior from the analysis of execution traces produced dynamically by an object-oriented application using formal and semi-formal techniques for modeling the dynamic behavior of a system. Our methods show that this approach can produce UML behavioral diagrams in reasonable time and suggest that these diagrams are helpful in understanding the behavior of the underlying application.
Simulation assisted elicitation and validation of behavioral specifications f...Daniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
Collaborative development and cataloguing of simulation and calculation model...Daniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
A package system for maintaining large model distributions in vle softwareDaniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
A collaborative environment for urban landscape simulationDaniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
System model optimization through functional models execution methodology and...Daniele Gianni
Presentation delivered at the 3rd IEEE Track on
Collaborative Modeling & Simulation - CoMetS'12.
Please see http://www.sel.uniroma2.it/comets12/ for further details.
Validation of Service Oriented Computing DEVS Simulation ModelsDaniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
The DEVS-Driven Modeling Language: Syntax and Semantics Definition by Meta-Mo...Daniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
Modular Mathematical Modelling of Biological SystemsDaniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
A Model-Based Method for System Reliability AnalysisDaniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
Calibration of Deployment Simulation Models - A Multi-Paradigm Modelling Appr...Daniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
BOM2UML: Integrating BOM Specifications into UML-based Development EnvironmentsDaniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
Model Transformation from BPMN to DEVS in a Prototype Implementation of the M...Daniele Gianni
Presentation at the 2nd International Workshop on Model-driven Approaches for Simulation Engineering
(held within the SCS/IEEE Symposium on Theory of Modeling and Simulation part of SpringSim 2012)
Please see: http://www.sel.uniroma2.it/mod4sim12/ for further details
SimArch: A Layered Architectural Approach to Reduce the Development Effort of...Daniele Gianni
Conference Presentation at the SESP Workshop (Simulation and EGSE for European Space Applications), September, 2009
Please visit
https://sites.google.com/site/simulationarchitecture/
for further information
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
1. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Automation of SysML Activity Diagram Simulation with Model-Driven
Engineering Approach
Damien Foures - Vincent Albert - Jean-Claude Pascal - Alexandre Nketsa
ISI Group - LAAS-CNRS; University of Toulouse, France
March, 27th 2012
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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2. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Agenda
1 Introduction
2 Concepts of meta-modelling
3 Models transformation
4 Application
5 Further works
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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3. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Introduction
ISI Group (Ingénierie Système et Intégration)
Heterogeneous systems design
Simulation
SysML (System Modeling Language) Transformation
Using meta-modelling
In conformance with OMG (Object Management Group)
UML/SysML origin with INCOSE (The International Council on Systems
Engineering)
Goal: supply tools for the development process of heterogeneous systems
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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4. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Introduction
ISI Group (Ingénierie Système et Intégration)
Heterogeneous systems design
Simulation
SysML (System Modeling Language) Transformation
Using meta-modelling
In conformance with OMG (Object Management Group)
UML/SysML origin with INCOSE (The International Council on Systems
Engineering)
Goal: supply tools for the development process of heterogeneous systems
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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5. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Introduction
ISI Group (Ingénierie Système et Intégration)
Heterogeneous systems design
Simulation
SysML (System Modeling Language) Transformation
Using meta-modelling
In conformance with OMG (Object Management Group)
UML/SysML origin with INCOSE (The International Council on Systems
Engineering)
Goal: supply tools for the development process of heterogeneous systems
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
3 / 41
6. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Introduction
ISI Group (Ingénierie Système et Intégration)
Heterogeneous systems design
Simulation
SysML (System Modeling Language) Transformation
Using meta-modelling
In conformance with OMG (Object Management Group)
UML/SysML origin with INCOSE (The International Council on Systems
Engineering)
Goal: supply tools for the development process of heterogeneous systems
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
3 / 41
7. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Introduction
ISI Group (Ingénierie Système et Intégration)
Heterogeneous systems design
Simulation
SysML (System Modeling Language) Transformation
Using meta-modelling
In conformance with OMG (Object Management Group)
UML/SysML origin with INCOSE (The International Council on Systems
Engineering)
Goal: supply tools for the development process of heterogeneous systems
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
3 / 41
8. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Introduction
ISI Group (Ingénierie Système et Intégration)
Heterogeneous systems design
Simulation
SysML (System Modeling Language) Transformation
Using meta-modelling
In conformance with OMG (Object Management Group)
UML/SysML origin with INCOSE (The International Council on Systems
Engineering)
Goal: supply tools for the development process of heterogeneous systems
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
3 / 41
9. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Introduction
ISI Group (Ingénierie Système et Intégration)
Heterogeneous systems design
Simulation
SysML (System Modeling Language) Transformation
Using meta-modelling
In conformance with OMG (Object Management Group)
UML/SysML origin with INCOSE (The International Council on Systems
Engineering)
Goal: supply tools for the development process of heterogeneous systems
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
3 / 41
10. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Introduction
ISI Group (Ingénierie Système et Intégration)
Heterogeneous systems design
Simulation
SysML (System Modeling Language) Transformation
Using meta-modelling
In conformance with OMG (Object Management Group)
UML/SysML origin with INCOSE (The International Council on Systems
Engineering)
Goal: supply tools for the development process of heterogeneous systems
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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11. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Buttery example
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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12. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Buttery example
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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13. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Approach of ISI group
Design Verification by Model-checking
Requirements
Elicitation
Formal Verification
Petri Net Model
User Requirements SysML - Activity Diagram TINA
Validation by Simulation
Manual Transformation
Automatic Transformation System Vision - VHDL-AMS
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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15. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Model Driven Engineering - (MDE)
Historically: Documentation-oriented approach
Complex
Rambling
Our approach: MDE
Denition
Software Engineering paradigm where models play a key role in all engineering
activities (forward engineering, reverse engineering, software evolution...).
Better management of complexity
Everything is model
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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16. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Model Driven Engineering - (MDE)
Historically: Documentation-oriented approach
Complex
Rambling
Our approach: MDE
Denition
Software Engineering paradigm where models play a key role in all engineering
activities (forward engineering, reverse engineering, software evolution...).
Better management of complexity
Everything is model
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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17. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Model Driven Engineering - (MDE)
Historically: Documentation-oriented approach
Complex
Rambling
Our approach: MDE
Denition
Software Engineering paradigm where models play a key role in all engineering
activities (forward engineering, reverse engineering, software evolution...).
Better management of complexity
Everything is model
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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18. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Model Driven Engineering - (MDE)
Historically: Documentation-oriented approach
Complex
Rambling
Our approach: MDE
Denition
Software Engineering paradigm where models play a key role in all engineering
activities (forward engineering, reverse engineering, software evolution...).
Better management of complexity
Everything is model
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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19. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Model Driven Engineering - (MDE)
Historically: Documentation-oriented approach
Complex
Rambling
Our approach: MDE
Denition
Software Engineering paradigm where models play a key role in all engineering
activities (forward engineering, reverse engineering, software evolution...).
Better management of complexity
Everything is model
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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20. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Model Driven Engineering - (MDE)
Historically: Documentation-oriented approach
Complex
Rambling
Our approach: MDE
Denition
Software Engineering paradigm where models play a key role in all engineering
activities (forward engineering, reverse engineering, software evolution...).
Better management of complexity
Everything is model
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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21. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Meta-modelling concepts
M3 Meta-metamodel
M2 Metamodel
M1 Model
M0 Real World
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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22. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Meta-modelling concepts
M3 Meta-metamodel
M2 Metamodel
M1 Model
M0 Real World
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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23. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Meta-modelling concepts
M3 Meta-metamodel
M2 Metamodel
M1 Model
M0 Real World
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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24. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Meta-modelling concepts
M3 Meta-metamodel
M2 Metamodel
M1 Model
M0 Real World
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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25. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Meta-modelling concepts
Text
Line
Colors
M3 Meta-metamodel
M2 Metamodel
M1 Model
M0 Real World
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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26. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Meta-modelling concepts
Meta-metamodel
Conforms to
M3 Meta-metamodel ECORE
Conforms to
Conforms to Conforms to
M2 Metamodel
Actvity Diagram Transformation Petri Net Transformation VHDL-AMS
Metamodel .ecore Rules Metamodel Rules Metamodel
.atl .ecore .atl
Conforms to use Conforms to use Conforms to
M1 Model Activity Diagram Transformation
Petri Net Transformation
Engine
VHDL-AMS
.xmi .xmi Engine
.xmi
modelised by
M0 Real World Real System
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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28. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Mapping of concepts
Be generic
In conformance with OMG
For example: Transposing AD properties in Petri Net.
ActivityFinalNode Petri net
Property : control node at which a
ow in an activity stops
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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29. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Mapping of concepts
Be generic
In conformance with OMG
For example: Transposing AD properties in Petri Net.
ActivityFinalNode Petri net
Property : control node at which a
ow in an activity stops
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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30. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Mapping of concepts
Be generic
In conformance with OMG
For example: Transposing AD properties in Petri Net.
ActivityFinalNode Petri net
Property : control node at which a
ow in an activity stops
ControlFlow1
FinalNode1
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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31. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Mapping of concepts
Be generic
In conformance with OMG
For example: Transposing AD properties in Petri Net.
ActivityFinalNode Petri net
Property : control node at which a A1_ControlFlow1
ow in an activity stops
P_ControlFlow1
ControlFlow1
A2_ControlFlow1
T_FinalNode1
A_FinalNode1
FinalNode1
P_FinalNode1
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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32. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Mapping of concepts
Be generic
In conformance with OMG
For example: Transposing AD properties in Petri Net.
ActivityFinalNode Petri net
Property : control node at which a A1_ControlFlow1 A1_ControlFlow1
ow in an activity stops
P_ControlFlow1 P_ControlFlow2
ControlFlow1
ControlFlow2 A2_ControlFlow1
A2_ControlFlow2
T_FinalNode1
A_FinalNode1
FinalNode1
P_FinalNode1
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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33. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Mapping of concepts
Be generic
In conformance with OMG
For example: Transposing AD properties in Petri Net.
ActivityFinalNode Petri net
Property : control node at which a A1_ControlFlow1 A1_ControlFlow1
ow in an activity stops if one of its
input is activated P_ControlFlow1 P_ControlFlow2
ControlFlow1 A2_ControlFlow1
A2_ControlFlow2
ControlFlow2
T_FinalNode1
A_FinalNode1
FinalNode1 P_FinalNode1
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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34. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Mapping of concepts
Be generic
In conformance with OMG
For example: Transposing AD properties in Petri Net.
ActivityFinalNode Petri net
Property : control node at which a A1_ControlFlow1 A1_ControlFlow1
ow in an activity stops if one of its
input is activated
P_ControlFlow1 P_ControlFlow2
ControlFlow1 A2_ControlFlow1 A2_ControlFlow2
ControlFlow2
T1_FinalNode1 T2_FinalNode1
A1_FinalNode1 A2_FinalNode1
FinalNode1 P_FinalNode1
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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35. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Mapping of concepts
From PN to VHDL:
Token Management
place
active
desactive
marque_init
clk
marque
araz
calcul
marque active
e desactive
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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36. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Buttery example
Mapping of concepts:
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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42. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Example: Injector
Thermic Engine Injector Controller
Objective: Control the gaz mix rate (air +
fuel + recycled gaz)
Control injection time
Control the recycler valve position
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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43. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Example: Injector
Thermic Engine Injector Controller
Objective: Control the gaz mix rate (air +
fuel + recycled gaz)
Control injection time
Control the recycler valve position
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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44. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Example: Injector
Thermic Engine Injector Controller
Objective: Control the gaz mix rate (air +
fuel + recycled gaz)
Control injection time
Control the recycler valve position
θaf = f (∆inj , ϕvolc , Teau , ωmot , τO ) 2
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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45. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Example: Injector
Engine part behaviour description
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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46. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Example: Injector
Thermic Engine Injector Controller AD Model
1.2: Admission
1.1:Engine
1.1.1: WarmUp
1:Injection Control System
1.1.2: ChooseRegulation
1.3: Exhaust
1.5: injector
1.6: Valve
1.4: Capteurs
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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47. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Example: Injector
Thermic Engine Injector Controller AD Model
1.2: Admission
1.1:Engine
1.1.1: WarmUp
1:Injection Control System
1.1.2: ChooseRegulation
1.3: Exhaust
1.5: injector
1.6: Valve
1.4: Capteurs
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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48. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Example: Injector
Thermic Engine Injector Controller AD Model
1.2: Admission
1.1:Engine
1.1.1: WarmUp
1:Injection Control System
1.1.2: ChooseRegulation
1.3: Exhaust
1.5: injector
1.6: Valve
1.4: Capteurs
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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49. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Validation
The system has three phases
Phase 1: Warm-up - High air/fuel rate
Phase 2: ωmot 1000 rpm
Phase 3: ωmot 2200 rpm
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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50. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Validation
The system has three phases
Phase 1: Warm-up - High air/fuel rate
Phase 2: ωmot 1000 rpm
Phase 3: ωmot 2200 rpm
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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51. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Validation
The system has three phases
Phase 1: Warm-up - High air/fuel rate
Phase 2: ωmot 1000 rpm
Phase 3: ωmot 2200 rpm
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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52. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Validation
The system has three phases
Phase 1: Warm-up - High air/fuel rate
Phase 2: ωmot 1000 rpm
Phase 3: ωmot 2200 rpm
Engine speed in 10³ rpm
Air/Fuel Rate in %
S1 S2 S3
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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54. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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55. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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56. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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57. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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58. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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59. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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60. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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61. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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62. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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63. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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64. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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65. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Conclusion and Perspectives
Conclusion:
Explore the MMDA SysML
Design the MMPN in Ecore Language
Dene and implement the transformation rules
Verify formally these rules
Establish a complete MDE chains from semi-formal models to formal models and
simulation.
Perspectives :
Includes Co-design facilities in our approach
Reward transformation
Petri Net transparent to the user.
Inject formal verication results back into AD model.
Include in research platform to assess the validity of a simulation model.
Automation of SysML Activity Diagram Simulation with Model-Driven Engineering Approach
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66. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Platform to assess the validity of a simulation model
knowledge
User Developer
Requirements
User Specification Dev. Specification
User Formal Specification Dev. Formal Specification
Model
Experimental Frame
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67. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
MDA en action
X.Blanc
Paris, Mai 2005
OMG Unied Modeling Language (OMG UML) Superstructure
OMG
Version 2.3, May 2010
From Embedded Systems Requirement to Physical Representation: A
Model-based Methodology in Accordance whith the EIA-632
Carlos E.Gomez,Jean-Claude Pascal and Philippe Esteban
CNRS-LAAS
Contribution a la spécication des sytèmes temps réel:L'approche
UML/PNO
D. Jérome Delatour
CNRS-LAAS Thèse 2003
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68. Introduction Meta-modelling Transformation Verication Validation Application Perspectives
Thanks for your attention !
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