Model-Driven Tool Integration with ModelBus

Hein, Christian; Ritter, Tom; Wagner, Michael

doi:10.5220/0002174800350039

Cited by 18 publications

(2 citation statements)

References 2 publications

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“…• ModelBus [103] is a tool integration framework in the domain of system engineering, which uses traceability data such as timestamps for artifact creation and modification, and information about the creator of a specific artifact. But, it rather uses a one to one transformation for the integration of two tools since there is no common data format.…”

Section: Related Workmentioning

confidence: 99%

Model‐Based Tool Integration and Ontology‐Driven Traceability in Model‐Based Development Environments

Mengist

2023

Linköping Studies in Science and Technology. Dissertations

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Den ökande digitaliseringen av både samhälle och industri har gjort system som består av både fysiska och digitala komponenter mer och mer vanliga. Sådana system kallas ofta för cyberfysikaliska, då de består av både av traditionella komponenter och mjukvara. Ett exempel på ett typiskt cyberfysikaliskt system är en modern bil, där systemet för automatisk inbromsning samverkar med de fysiska komponenterna i bilen som utför själva inbromsningen. Ett modernt bromssystem exemplifierar ytterligare en aspekt av dessa system, nämligen att de typiskt är system av system. Det vill säga att systemet består av flera underliggande system med varierande grad av komplexitet.Att utveckla och underhålla sådana system är komplext. Modellbaserade metoder och verktyg spelar därför en viktig roll i design och utvecklingsfasen, där samspelet mellan systemets komponenter modelleras och simuleras med hjälp av verktyg innan testprototyper konstrueras. Dock är modelleringsverktygen ofta komplexa och samverkan mellan verktygen kan därför bli icke-trivial. För närvarande finns inga kompletta verktygskedjor för utveckling och underhåll av sådana system. Det saknas också väletablerade verktyg för att underlätta integreringen av olika modelleringsspråk, modelleringsverktyg samt övrigt verktyg som oftast används under modelleringsprocessen.I avhandlingen har därför behovet av verktyg och metoder som används för att utveckla och underhålla moderna cyberfysikaliska system undersökts. Det övergripande målet har varit att utveckla och undersöka nya utvecklingsmetoder och tillvägagångssätt i projekt där cyberfysikaliska system utvecklas och testas. Dessa inkluderar: Numerisk stabilitet inom cosimulering, avancerad simulationsmodellsanalys, simuleringsbaserad optimering samt ökad spårbarhetsförmåga genom en ontologidriven metod i kontexten modellbaserad utveckling.Avhandlingen bidrar till ökad förståelse inom design, utveckling och validering i följande fyra kategorier:1. En ny ontologidriven metod och ett nytt verktyg för interdisciplinär samarbetsbaserad modellering och spårbarhetsförmåga under hela utvecklingsprocessen av cyberfysikaliska system.2. Ett verktyg för visuell co-modellering och ett co-modelleringsramverk för enhetlig systemsimulering av flera olika modellverktyg.3. Ett tillvägagångsätt och därigenom en metod för modellbaserad dynamisk optimering. Ett analysverktyg för mer effektiv simuleringAvhandlingens fyra huvudsakliga bidrag bidrar till att förenkla arbetet för modellerare i både akademin så väl som i industrin. Verktyget för spårbarhetsförmåga gör det enkelt att koppla krav till komponent, verktyget för visuell co-modellering bidrar till bättre integrering och simulering av olikartade systemkomponenter. På samma sätt ger tillvägagångsättet för modellbaserad dynamisk optimering kunskap kring hur tekniken kan integreras i befintliga verktygskedjor. Slutligen bidrar analysverktyget till att modellerare på ett enklare sätt kan lokalisera potentiella flaskhalsar i systemen de utvecklar.

show abstract

Section: Related Workmentioning

confidence: 99%

Model‐Based Tool Integration and Ontology‐Driven Traceability in Model‐Based Development Environments

Mengist

2023

Linköping Studies in Science and Technology. Dissertations

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“…ModelBus (Hein et al, 2009) is a tool integration framework in the domain of system engineering, which uses traceability data such as timestamps for artefact creation and modification, and information about the creator of a specific artefact. But, it rather uses a one to one transformation for the integration of two tools since there is no common data format.…”

Section: Related Workmentioning

confidence: 99%

Traceability in the Model-based Design of Cyber-Physical Systems

König¹,

Mengist²,

Gamble³

et al. 2020

Linköping Electronic Conference Proceedings

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Design, development, and analysis of complex Cyber Physical Systems (CPSs) using models involves a collaboration of expertise from different engineering domains. Heterogeneous artefacts are generated, often using different lifecycle modeling languages and simulation tools. Capturing the traceability information among these artefacts can be used to support several activities such as requirements tracing, impact analysis of change requests, verification, validation, and documentation. However, creating trace links among these heterogeneous artefacts is challenging as different tools in the development lifecycle are usually disparate and there is no precise semantic in the terminology used between requirement engineers, verification engineers, and system modelers. In this paper, we present a linked data-based approach to capture traceability information and create trace links that relate heterogeneous artefacts in the model-based design process of CPSs through a standardized interface and format using OSLC. This enables artefacts from different tools to be connected and queried through a standardized interface and format. A practical prototype system for supporting traceability is designed through integration with the INTO-CPS toolchain of CPS design. The traceability data is stored in Neo4j graph database which can be queried for generating various reports such as impact analysis, variant handling, etc.

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A model-driven approach for developing a model repository: Methodology and tool support

Hamid

2017

Future Generation Computer Systems

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h i g h l i g h t s• Repository design: we describe a design framework and infrastructure to support the model-based repository lifecycle.• Modeling: we propose a modeling language to specify a model-based repository independent from end-development applications and execution platforms.• Tooling: we describe an operational architecture for development tools to support the proposed approach.• Validation: we apply the approach to a resource-constrained embedded system (RCES) in the context of the TERESA project : Railway Systems. Keywords:Modeling artifact Repository Meta-model Model-driven engineering Security & dependability patterns a b s t r a c t Several development approaches have been proposed to cope with the increasing complexity of embedded system design. The most widely used approaches are those using models as the main artifacts to be constructed and maintained. The desired role of models is to ease, systematize and standardize the approach to the construction of software-based systems. To enforce reuse and interconnect the process of model specification and system development with models, we promote a model-based approach coupled with a model repository. In this paper, we propose a model-driven engineering methodological approach for the development of a model repository and an operational architecture for development tools. In addition, we provide evidence of the benefits and feasibility of our approach by reporting on a preliminary prototype that provides a model-based repository of security and dependability (S&D) pattern models. Finally, we apply the proposed approach in practice to a use case from the railway domain with strong S&D requirements. * Fax: +33 (0)5 6150 4173. E-mail address:Hamid@irit.fr. the industrial efficiency, fostering technology reuse across domains (reuse of models at different levels), and thus reducing the amount of effort and time needed to design a complex system.Repositories of modeling artifacts have gained increasingly attention recently to enforce reuse in software engineering. In fact, repository-centric development processes are often adopted in software/system development, such as architecture-or patterncentric development processes.According to Bernstein and Dayal [2], a repository is a shared database of information on engineered artifacts. These researchers state that a repository has (1) a Manager for modeling, retrieving, and managing the objects in a repository, (2) a Database to store the data and (3) Functionalities to interact with the repository. In our work, we go one step further by proposing a model-based repository to support the specifications, definitions and packaging of a set of modeling artifacts to assist the developers of trusted applications for embedded systems. Closely related to our vision is the approach for specifying, designing and implementing a reuse repository presented in [3].

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Model-Driven Tool Integration with ModelBus

Cited by 18 publications

References 2 publications

Model‐Based Tool Integration and Ontology‐Driven Traceability in Model‐Based Development Environments

Model‐Based Tool Integration and Ontology‐Driven Traceability in Model‐Based Development Environments

Traceability in the Model-based Design of Cyber-Physical Systems

A model-driven approach for developing a model repository: Methodology and tool support

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