Bridging Proprietary Modelling and Open-Source Model Management Tools: The Case of PTC Integrity Modeller and Epsilon

Zolotas, Athanasios; Rodriguez, Horacio Hoyos; Kolovos, Dimitrios S.; Paige, Richard F.; Hutchesson, Stuart

doi:10.1109/models.2017.18

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…Moreover, EMF-SYNCER can perform an initial synchronization with millions of objects in reasonable time and that, for small cardinalities, it is performed in instant time up to 500K elements. In our experiments, the cardinality of elements considered has been increased by one order of magnitude with respect to the cardinality of the specimens considered in previous experiments, e.g., [21], thus providing a better insight on the capabilities of state-of-the-art MDE technology for scenarios involving large data sets.…”

Section: Discussionmentioning

confidence: 99%

“…While MDE-agnostic applications can be reverse engineered [18], [19] or adapted [20], a few approaches [21], [22] build interfaces with MDE technology for MDEagnostic systems at run time. These approaches have been evaluated with a number of case studies used in industry.…”

Section: Introductionmentioning

confidence: 99%

“…The conclusions of this research should help inform decisions when adopting MDE technology, depending on the scalability requirements of the system to be developed. In [21], such decisions could only be taken for model cardinalities of up to 116K elements, which are now raised to the millions.…”

Section: Introductionmentioning

confidence: 99%

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Code-First Model-Driven Engineering: On the Agile Adoption of MDE Tooling

Boronat

2019

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)

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Domain models are the most important asset in widely accepted software development approaches, like Domain-Driven Design (DDD), yet those models are still implicitly represented in programs. Model-Driven Engineering (MDE) regards those models as representable entities that are amenable to automated analysis and processing, facilitating quality assurance while increasing productivity in software development processes. Although this connection is not new, very few approaches facilitate adoption of MDE tooling without compromising existing value, their data. Moreover, switching to MDE tooling usually involves re-engineering core parts of an application, hindering backward compatibility and, thereby, continuous integration, while requiring an up-front investment in training in specialized modeling frameworks. In those approaches that overcome the previous problem, there is no clear indication − from a quantitative point of view − of the extent to which adopting state-of-the-art MDE practices and tooling is feasible or advantageous.In this work, we advocate a code-first approach to modeling through an approach for applying MDE techniques and tools to existing object-oriented software applications that fully preserves the semantics of the original application, which need not be modified. Our approach consists both of a semiautomated method for specifying explicit view models out of existing object-oriented applications and of a conservative extension mechanism that enables the use of such view models at run time, where view model queries are resolved on demand and view model updates are propagated incrementally to the original application. This mechanism enables an iterative, flexible application of MDE tooling to software applications, where metamodels and models do not exist explicitly. An evaluation of this extension mechanism, implemented for Java applications and for view models atop the Eclipse Modeling Framework (EMF), has been conducted with an industrytargeted benchmark for decision support systems, analyzing performance and scalability of the synchronization mechanism. Backward propagation of large updates over very large views is instant.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Code-First Model-Driven Engineering: On the Agile Adoption of MDE Tooling

Boronat

2019

2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE)

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“…In this regard, the Massif project facilities brought the possibility of managing an actual EMF-compatible Simulink model representation in a broader range of model management scenarios at the expense of having to co-manage both artefacts. In contrast, our approach uses the modelling technology API to translate high-level CRUD operations at model type level on-demand in a similar fashion to other Epsilon bridges such as [20,35].…”

Section: Related Workmentioning

confidence: 99%

On-the-Fly Translation and Execution of OCL-Like Queries on Simulink Models

Pina

Zolotas

Rodriguez

et al. 2019

2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS)

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MATLAB/Simulink is a tool for dynamic system modelling. Model management languages such as OCL, ATL and the languages of the Epsilon platform tend to focus on the Eclipse Modelling Framework (EMF), a de facto standard for domain specific modelling. As Simulink models are built on an entirely different technical stack, the current solution to manipulate them using such languages requires their transformation into an EMFcompatible representation. This approach is expensive as the cost of the transformation can be crippling for large models, it requires the synchronisation of the native Simulink model and its EMF counterpart, and the EMF-representation may be an incomplete copy of the model. In this paper we propose an alternative approach that uses the MATLAB API to bridge Simulink models with existing model management languages that relies on the "on-the-fly" translation of model management language constructs into MATLAB commands. Our approach eliminates the cost of the transformation and of the co-evolution of the EMF-compatible representation while enabling full access to the Simulink model details. We evaluate the performance of both approaches using a set of model validation constraints executed on a sample of the largest Simulink models available on GitHub. Our evaluation suggests that the translation approach can reduce the model validation time up to 80%.

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“…In [14] Hutchesson et al, discussed about the tool for the private UML modeling(PTC Integrity Modeller) which is used to design the model based development of critical systems and for open source software the tool they used was Epsilon. They evaluated the open source software implementation in Epsilon with IM on the basis of performance, incrementality and interoperability.…”

Section: Literature Reviewmentioning

confidence: 99%

A Comparitive Analysis Between Open Source And Closed Source Software in Terms of Complexity and Quality Factors

Sirshar¹,

Akramizadeh²,

Ibrahim³

2019

Preprint

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The complexity of software is increasing day by day due to the increase in the size of the projects being developed. For better planning and management of large software projects, estimation of software quality is important. During the development processes, complexity metrics are used for the indication of the attributes/characteristics of the quality software. There are many studies about the effect of the complexity of the software on the cost and quality. In this study, we discussed the effects of software complexity on the quality attributes of the software for open source and closed source software. Though, the quality metrics for open and closed source software are not distinct from each other. In this paper, we comparatively analyzed the impact of complexity metrics on open source and private software. We also presented various models for the management of the project complexity such as William’s Model, Stacey’s Agreement and Certainty matrix, Kahane’s Approach and UCP Model. Quality metrics here refer to the standards for the measurement of the quality of software which contains certain attributes or characteristics of the software that are related to the quality of the software. Certain quality attributes addressed in this study are Usability, Reliability, Security, Portability, Maintainability, Efficiency, Cost, Standards and Availability, etc. Both Open source and Closed source software are evaluated on the basis of these quality attributes. This study also recommended future approaches to manage the quality of project Open source and Closed source software and specify which one of them is mostly used in the industry.

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Bridging Proprietary Modelling and Open-Source Model Management Tools: The Case of PTC Integrity Modeller and Epsilon

Cited by 5 publications

References 3 publications

Code-First Model-Driven Engineering: On the Agile Adoption of MDE Tooling

Code-First Model-Driven Engineering: On the Agile Adoption of MDE Tooling

On-the-Fly Translation and Execution of OCL-Like Queries on Simulink Models

A Comparitive Analysis Between Open Source And Closed Source Software in Terms of Complexity and Quality Factors

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