Improving Automatic UML2 Profile Generation for MDA Industrial Development

Giachetti, Giovanni; Valverde, Francisco; Pastor, Óscar

doi:10.1007/978-3-540-87991-6_16

Cited by 15 publications

(23 citation statements)

References 4 publications

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“…For future works, we plan to apply the quality model into different MDD approaches by using an integration process that automatically generates metamodeling extensions [55][56][57]. By using the integration proposal, we plan to show how the proposed quality model allows the automatic verification of the list of defect types found in MDD proposals.…”

Section: Discussionmentioning

confidence: 99%

A Quality Model for Conceptual Models of MDD Environments

Marín

Giachetti

Pastor

et al. 2010

Advances in Software Engineering

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In Model-Driven Development (MDD) processes, models are key artifacts that are used as input for code generation. Therefore, it is very important to evaluate the quality of these input models in order to obtain high-quality software products. The detection of defects is a promising technique to evaluate software quality, which is emerging as a suitable alternative for MDD processes. The detection of defects in conceptual models is usually manually performed. However, since current MDD standards and technologies allow both the specification of metamodels to represent conceptual models and the implementation of model transformations to automate the generation of final software products, it is possible to automate defect detection from the defined conceptual models. This paper presents a quality model that not only encapsulates defect types that are related to conceptual models but also takes advantage of current standards in order to automate defect detection in MDD environments.

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Section: Discussionmentioning

confidence: 99%

A Quality Model for Conceptual Models of MDD Environments

Marín

Giachetti

Pastor

et al. 2010

Advances in Software Engineering

Self Cite

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“…The decision to use EMOF (instead of complete MOF) is due to the closeness that exists between EMOF metamodeling capabilities and UML profile extension capabilities. This facilitates the generation of UML profile extensions to integrate the particular metamodeling information of a source EMOF metamodel into a target EMOF metamodel [14].…”

Section: Integration Metamodelmentioning

confidence: 99%

“…is the solution defined in [14] to automatically generate metamodel extensions for the integration of two modeling languages. This is an EMOF-based metamodel that is generated from the metamodel of the source modeling language, and its definition includes the mapping information to identify the equivalences between the source and target modeling languages.…”

Section: Step 2 Definition Of the Integration Metamodel The Integramentioning

confidence: 99%

Linking Goal-Oriented Requirements and Model-Driven Development

Pastor

Giachetti

2010

Intentional Perspectives on Information Systems Engineering

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In the context of Goal-Oriented Requirement Engineering (GORE) there are interesting modeling approaches for the analysis of complex scenarios that are oriented to obtain and represent the relevant requirements for the development of software products. However, the way to use these GORE models in an automated Model-Driven Development (MDD) process is not clear, and, in general terms, the translation of these models into the final software products is still manually performed. Therefore, in this chapter, we show an approach to automatically link GORE models and MDD processes, which has been elaborated by considering the experience obtained from linking the i * framework with an industrially applied MDD approach. The linking approach proposed is formulated by means of a generic process that is based on current modeling standards and technologies in order to facilitate its application for different MDD and GORE approaches. Special attention is paid to how this process generates appropriate model transformation mechanisms to automatically obtain MDD conceptual models from GORE models, and how it can be used to specify validation mechanisms to assure the correct model transformations.

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“…However, this approach requires the manual definition of an initial UML profile skeleton, which is typically a tedious and error-prone task [23]. The methodology introduced in [7,8] facilitates the derivation of a UML profile using a DSML as input. The methodology requires the manual definition of an intermediate metamodel that captures the abstract syntax.…”

Section: Related Workmentioning

confidence: 99%

“…The methodology requires the manual definition of an intermediate metamodel that captures the abstract syntax. Despite the potential of these approaches, they usually involve non-trivial human-driven tasks, e.g., a UML profile skeleton [15] or an intermediate metamodel [7,8]. In contrast, our approach builds on top of standard Ecore metamodels (which are usually available in MBSE).…”

Section: Related Workmentioning

confidence: 99%

Towards Automatic Generation of UML Profile Graphical Editors for Papyrus

Zolotas

Wei

Gerasimou

et al. 2018

Lecture Notes in Computer Science

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Abstract. We present an approach for defining the abstract and concrete syntax of UML profiles and their equivalent Papyrus graphical editors using annotated Ecore metamodels, driven by automated modelto-model and model-to-text transformations. We compare our approach against manual UML profile specification and implementation using Archimate, a non-trivial enterprise modelling language, and we demonstrate the substantial productivity and maintainability benefits it delivers.

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Improving Automatic UML2 Profile Generation for MDA Industrial Development

Cited by 15 publications

References 4 publications

A Quality Model for Conceptual Models of MDD Environments

A Quality Model for Conceptual Models of MDD Environments

Linking Goal-Oriented Requirements and Model-Driven Development

Towards Automatic Generation of UML Profile Graphical Editors for Papyrus

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