Customizable Model Migration Schemes for Meta-model Evolutions with Multiplicity Changes

Taentzer, Gabriele; Mantz, Florian; Arendt, Thorsten; Lamo, Yngve

doi:10.1007/978-3-642-41533-3_16

Cited by 11 publications

(10 citation statements)

References 11 publications

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“…However, maintaining and evolving all the elements involved may be difficult [14]. Different approaches should be applied for model evolution [32], metamodel evolution [18] or transformation evolution [25], and it is even more complex when severeal related elements must evolve consistently [9]. Moreover, adoption of MDE approaches has been slow due to organizational and cultural issues, as well as tool immaturity [21,36].…”

Section: Related Workmentioning

confidence: 99%

Using megamodeling to improve industrial adoption of complex MDE solutions

Bastarrica

Simmonds

Silvestre

2014

Proceedings of the 6th International Workshop on Modeling in Software Engineering

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Companies formalize their software processes as a way of organizing their development projects. As each project has its own requirements and objectives, a family of processes is required in practice, in order to ensure that each project is handled appropriately. This family may be a collection of predefined processes, but can also be automatically generated by tailoring a general process to a project's context which requires formalization and tool support to be successful. Model-driven engineering provides a formal framework for defining the models and transformations required for automated process tailoring, but various types of models must be specified and evolved, limiting the industrial adoption of this approach. To address this problem, in this paper we propose a megamodel for automated process tailoring. Megamodeling provides an integrating framework for modeling in the large, including the definition and evolution of all models and transformations required for tailoring while hiding complexity. We report the application of our approach to the software development process of Rhiscom, a small Chilean company.

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Section: Related Workmentioning

confidence: 99%

Using megamodeling to improve industrial adoption of complex MDE solutions

Bastarrica

Simmonds

Silvestre

2014

Proceedings of the 6th International Workshop on Modeling in Software Engineering

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“…In [39], we propose to resolve such conflicts 10 by usual graph transformations being performed after having migrated a model w.r.t. type changes.…”

Section: Modeling Language Constraintsmentioning

confidence: 99%

Co-evolving meta-models and their instance models: A formal approach based on graph transformation

Mantz

Taentzer

Lamo

et al. 2015

Science of Computer Programming

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Model-driven engineering focuses on models as primary artifacts of the software development process, which means programs are mainly generated by model-to-code transformations. In particular, modeling languages tailored to specific domains promise to increase the productivity of software developers and the quality of generated software. Modeling languages, however, evolve over time and therefore, existing models have to be migrated accordingly. The manual migration of models tends to be tedious and error-prone, therefore tools have been developed to (partly) automate this process. Nevertheless, the migration results may not always be well-defined. In this article, we provide a formal framework for model migration which is independent of specific modeling approaches. We treat modeling languages, formalized by metamodels, as well as models as graphs and consider their co-evolutions as coupled graph transformations. In the same line, we study the conditions under which model migrations are well-defined. Existing solutions to model migration are either handwritten or default solutions that can hardly be customized. Here, we introduce a high-level specification approach, called model migration schemes, that supports automation and customization. Starting from a meta-model evolution rule, a default migration scheme can be automatically deduced and customized.

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“…Years Implementation Approaches to generate resolution strategies: de Geest et al [10] 2008 claim Garcés et al [11], [12] 2008-2009 claim Meyers et al [13] 2012 no Mantz & Taentzeret al [14], [15], [16], [17], [18], [19] 2012-2013 no…”

Section: Approachesmentioning

confidence: 99%

Surveying the Corpus of Model Resolution Strategies for Metamodel Evolution

Hebig

Khelladi

Bendraou

2015

2015 Asia-Pacific Software Engineering Conference (APSEC)

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Modeling languages evolve regularly. Companies need to maintain all those models that are used in running projects, which can cause these projects to fall back in their schedules. Since 10 years research addresses this issue with approaches for automating co-evolution. The dominant core of these approaches are model resolution strategies. They define 1) how models have to be changed in reaction to specific metamodel changes, 2) what degree of automation can be reached, and 3) to what extent the user can control the resolution outcome. In this paper, we survey existing co-evolution approaches and analyze model resolution strategies. We present a corpus of more than 200 resolution strategies for 116 types of metamodel changes and discuss degree of automation and choices that users have today.

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Customizable Model Migration Schemes for Meta-model Evolutions with Multiplicity Changes

Cited by 11 publications

References 11 publications

Using megamodeling to improve industrial adoption of complex MDE solutions

Using megamodeling to improve industrial adoption of complex MDE solutions

Co-evolving meta-models and their instance models: A formal approach based on graph transformation

Surveying the Corpus of Model Resolution Strategies for Metamodel Evolution

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