Co-evolution of metamodels and models through consistent change propagation

Demuth, Andreas; Riedl-Ehrenleitner, Markus; Lopez-Herrejon, Roberto E.; Egyed, Alexander

doi:10.1016/j.jss.2015.03.003

Cited by 33 publications

(21 citation statements)

References 23 publications

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“…The data set is archived in the FigShare platform 6 to be used for reproducibility and comparison purposes.…”

Section: Data Setmentioning

confidence: 99%

“…The main idea of change propagation was already proposed and used for different purposes, such as by Hassan et al [13] who used change propagation in the context of source code, Cubranic et al [5] who used it to suggest relevant software development artifacts, or Demuth el al. [6] who used it for models co-evolution. In our work we use change propagation to co-evolve transformations.…”

Section: Related Workmentioning

confidence: 99%

“…This paper first proposes a change propagation-based co-evolution of model transformations. Change propagation showed to be efficient in many domains, such as in the context of source code or models co-evolution [5,6,13]. In this paper, change propagation leverages on the knowledge provided by the metamodel changes during evolution.…”

mentioning

confidence: 99%

“…https://www.eclipse.org/sirius/ and http://www.eclipse.org/modeling/gmp/ 5 git://git.eclipse.org/gitroot/epsilon/org.eclipse.epsilon.git6 https://figshare.com/s/13230c5cef89d854a295…”

mentioning

confidence: 99%

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Change Propagation-based and Composition-based Co-evolution of Transformations with Evolving Metamodels

Khelladi

Kretschmer

Egyed

2018

Proceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems

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Transformations constitute significant key components of an automated model-driven engineering solution. As metamodels evolve, model transformations may need to be co-evolved accordingly. A conducted experiment on transformations' co-evolution highlighted the existing gap in the literature where only limited few co-evolution scenarios are covered without supporting alternatives that occur in practice. To make matters worse, when a developer needs to drift apart from the proposed co-evolution, no automatic support is provided to the developer. This paper first proposes a change propagation-based co-evolution of transformations. The premise is that knowledge of the metamodel evolution can be propagated by means of resolutions to drive the transformation coevolution. To deal with particular cases where developers must drift from the proposed resolutions, we introduce a compositionbased mechanism that allows developers to compose resolutions meeting their needs. Our work is evaluated on 14 case studies consisting in original and evolved metamodels and ETL Epsilon transformations. A comparison of our co-evolved transformations with the 14 versioned ones showed the usefulness of our approach that reached an average 96% of correct co-evolution. On three other case studies, our composition-based co-evolution showed to be useful to eight developers in selecting resolutions that best meet their needs. Among the applied resolutions, four developers applied six resolutions that were the direct result of a composition.

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“…The data set is archived in the FigShare platform 6 to be used for reproducibility and comparison purposes.…”

Section: Data Setmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

“…https://www.eclipse.org/sirius/ and http://www.eclipse.org/modeling/gmp/ 5 git://git.eclipse.org/gitroot/epsilon/org.eclipse.epsilon.git6 https://figshare.com/s/13230c5cef89d854a295…”

mentioning

confidence: 99%

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Change Propagation-based and Composition-based Co-evolution of Transformations with Evolving Metamodels

Khelladi

Kretschmer

Egyed

2018

Proceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems

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“…Demuth et al [3] presented a vision of co-evolution between metamodels and models that has an ability to adopt change propagation. The approach handles co-evolution issues without being dependent on specific metamodels or evolution scenarios.…”

Section: (Ijacsa) International Journal Of Advanced Computer Science Andmentioning

confidence: 99%

Virtual Heterogeneous Model Integration Layer

Memon¹,

Shaikh²,

Hayat³

et al. 2016

ijacsa

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Abstract-The classic way of building a software today simplistically consists in connecting a piece of code calling a method with the piece of code implementing that method. We consider these piece of code (software systems) not calling anything, behaving in a non deterministic way and providing complex sets of services in different domains. In software engineering reusability is the holly grail, and specially the reusability of code from autonomus tools requires powerful compostion/integration mechanisms. These systems are developed by different developers and being modified inceremently. Integrating these autonomous tools generate various conflicts. To deal with these conflicts, current integration mechanisms defines specific set of rules to resolve these conflicts and accompalish integration. Indeed still there is a big chance that changes made by other developers, or they update their changes in order to make them compliant with other developers cancel the updates done by others. The approach presented here claims three contributions in the field of Hetrogeneous Software Integration. First, this approach eliminate the need of conflicts resolving mechanism. Secondly, it provides the mechanism to work in the presence of conflicts without resolving them. Finally, contribution is that the integration mechanism does not affect if either of the system evolves. We do this by introducing an intermediate virtual layer between two systems that introduce a delta models which consist of three parts; viability that share required elements, hiding that hide conflicting elements and aliasing that aliases same concepts in both systems.

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Ensuring safe and consistent coengineering of cyber‐physical production systems: A case study

Tröls

Mashkoor

Demuth

et al. 2020

J Software Evolu Process

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In today's engineering projects, companies continuously have to adapt their systems to changing customers or dynamic market requirements. This requires a flexible, iterative development process in which different parts of the system under construction are built and updated concurrently. However, concurrent engineering becomes quite challenging in domains where different engineering artifacts from different disciplines come into play, such as safety‐critical cyber‐physical systems, where the involved engineering artifacts are quite heterogeneous in nature. In such systems, it is of utmost importance that different artifacts remain consistent in order to guarantee a correctly functioning end product. In this article, we discuss our experiences (with a leading company working in the areas of production automation and product processing) in maintaining the consistency between electrical models and the corresponding software controller, when both are subject to continuous changes. The article discusses how we let engineers describe the relationships between electrical models and the corresponding software controller code in the form of links and consistency rules. Additionally, we demonstrate that how our approach, through a process of continuous consistency checking, notifies engineers about the erroneous impact of their changes in various engineering artifacts.

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Co-evolution of metamodels and models through consistent change propagation

Cited by 33 publications

References 23 publications

Change Propagation-based and Composition-based Co-evolution of Transformations with Evolving Metamodels

Change Propagation-based and Composition-based Co-evolution of Transformations with Evolving Metamodels

Virtual Heterogeneous Model Integration Layer

Ensuring safe and consistent coengineering of cyber‐physical production systems: A case study

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