Automating Change Evolution in Model-Driven Engineering

Gray, Jeffrey G.; Lin, Yuehua; Zhang, J.

doi:10.1109/mc.2006.45

Cited by 49 publications

(33 citation statements)

References 8 publications

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“…To this end, in (Gray et al, 2006) the authors developed meta-transformations as transformations which produce transformations. However, unlike this proposal, in our approach the new transformations are created to get adaptability in the architectural models (horizontal transformations) rather than make the transformation from PIM to PSM models (vertical transformations).…”

Section: Related Workmentioning

confidence: 99%

Composing Model Transformations at Runtime - An Approach for Adapting Component-based User Interfaces

Rodríguez-Gracia¹,

Criado²,

Iribarne³

et al. 2012

Proceedings of the 7th International Conference on Software Paradigm Trends

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Abstract:Nowadays, large part of the efforts in software development are focused on achieving systems with an as high as possible level of adaptation. With the traditional technique of model-driven development this can be largely accomplished. The inconvenience of these techniques however, is that the models are usually manipulated at design-time by means of fixed transformation. Furthermore, the transformations that manipulate these models cannot change dynamically according to the current execution context. This paper presents a transformation pattern aimed to adapt architectural models at runtime, this means that these models may change dynamically at runtime. The transformations that produce this model adaptation are not fixed, but dynamically composed by selecting the most appropriate set of rules from those available in a repository. As an example scenario for the application of these transformations, we chose architectural models representing component-based UIs.

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Section: Related Workmentioning

confidence: 99%

Composing Model Transformations at Runtime - An Approach for Adapting Component-based User Interfaces

Rodríguez-Gracia¹,

Criado²,

Iribarne³

et al. 2012

Proceedings of the 7th International Conference on Software Paradigm Trends

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“…Many researchers have proposed support environments to help explore the increasingly complex models that engineers are developing. Gray et al [26] have developed the Constraint-Specification Aspect Weaver (C-Saw), which uses aspect-oriented approaches [24] to help engineers in the process of model transformation. Cai and Sullivan [9] describe a formal method and tool called Simon that "supports interactive construction of formal models, derives and displays design structure matrices... and supports simple design impact analysis."…”

Section: Requirements Analysis Toolsmentioning

confidence: 99%

Finding robust solutions in requirements models

et al. 2009

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Abstract. Solutions to non-linear requirements engineering problems may be "brittle"; i.e. small changes may dramatically alter solution effectiveness. Hence, it is not enough to just generate solutions to requirements problems-we must also assess solution robustness. The KEYS2 algorithm can generate decision ordering diagrams. Once generated, these diagrams can assess solution robustness in linear time. In experiments with real-world requirements engineering models, we show that KEYS2 can generate decision ordering diagrams in O(N 2 ). When assessed in terms of terms of (a) reducing inference times, (b) increasing solution quality, and (c) decreasing the variance of the generated solution, KEYS2 out-performs other search algorithms (simulated annealing, ASTAR, MaxWalkSat).

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“…One of the challenges faced in MDE is the escalating complexity of software and system models [13]. For large-scale software development, the sheer size of models, the intertwining relationships between intra-and inter-model elements, and the concerns expressed across different models present a high adoption barrier to MDE practice.…”

Section: Introductionmentioning

confidence: 99%

“…Aspect-oriented software development (AOSD) provides explicit means to model concerns that crosscut multiple system components. It is argued that the synthesis of MDE and AOSD can not only provide effective support for managing software complexity, but also improve model quality and productivity [13].…”

Section: Introductionmentioning

confidence: 99%

Aspects across Software Life Cycle: A Goal-Driven Approach

Niu

González-Baixauli

et al. 2009

Lecture Notes in Computer Science

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Abstract. Goal modeling fits model-driven engineering (MDE) in that it captures stakeholder concerns and the interdependencies using concepts that are much less bound to the underlying implementation technology and are much closer to the problem languages. Aspect-oriented software development (AOSD) provides language constructs to facilitate the representation of multiple perceptions and to alleviate tangling and scattering concerns. Synthesis of AOSD and MDE not only manages software complexity but also improves productivity, as well as model quality and longevity. In this paper, we propose a model-driven framework for tracing aspects from requirements to implementation and testing, where goal models become engineering assets and straightforward model-to-code transformation bridges the gap between domain concepts and implementation technologies. We test our hypotheses and evaluate the framework's applicability and usefulness with a case study of an open-source e-commerce platform written in PHP.

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Automating Change Evolution in Model-Driven Engineering

Cited by 49 publications

References 8 publications

Composing Model Transformations at Runtime - An Approach for Adapting Component-based User Interfaces

Composing Model Transformations at Runtime - An Approach for Adapting Component-based User Interfaces

Finding robust solutions in requirements models

Aspects across Software Life Cycle: A Goal-Driven Approach

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