A Metamodel-Based Approach to Information Systems Evolution and Data Migration

Aboulsamh, Mohammed A.; Davies, Jim

doi:10.1109/icsea.2010.31

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…The techniques of evolution in IS and software engineering are mostly based on models [1,6,11,23]. These research works mainly address the problem of structural evolution (e.g.…”

Section: Is Evolution Metamodelsmentioning

confidence: 99%

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Towards a Framework for Enterprise Information System Evolution Steering

Opprecht

Ralyté

Léonard

2014

Lecture Notes in Business Information Processing

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International audienceEvolution is characteristic to every Information System (IS) because of continuing changes in its environment. It is also a necessary condition for guaranteeing IS fitness to the organizational needs and requirements. Nonetheless, each IS evolution presents several risks towards its sustainability and further changes, and steering IS evolution is indispensable for any organization. In this work we propose a framework that aims to guide the actors responsible for IS evolution steering. The framework allows to reduce the uncertainty, which is inherent in the IS evolution, by providing the information necessary to realise IS evolution activities and to simulate their impact. It is composed of several conceptual models representing different IS dimensions (information, activities, regulation). In this paper we detail the IS Steering Metamodel (IS-SM), which is the main element of our framework

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“…The techniques of evolution in IS and software engineering are mostly based on models [1,6,11,23]. These research works mainly address the problem of structural evolution (e.g.…”

Section: Is Evolution Metamodelsmentioning

confidence: 99%

“…Information Systems (IS) evolution steering is today one of the key concerns of any organisation 1 . Indeed, evolution is inherent to every IS and evolving is its permanent condition.…”

Section: Introductionmentioning

confidence: 99%

Towards a Framework for Enterprise Information System Evolution Steering

Opprecht

Ralyté

Léonard

2014

Lecture Notes in Business Information Processing

View full text Add to dashboard Cite

show abstract

Towards P Systems Based Approach for Evolutionary Enterprise Application

Piho

Tepandi

Puusep

2014

Information System Development

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Application and relational database co-refactoring

Macek

Richta

2014

COMSIS J

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A refactoring of application persistent objects affects not only the source code but the stored data as well. The change is usually processed in two steps: refactoring and data migration, which is ineffective and error prone. We provide a formal model for solution which is capable to migrate database according to a refactoring in the application code. The feasibility of the change and its data-secure processing is addressed as well.

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A Metamodel-Based Approach to Information Systems Evolution and Data Migration

Cited by 3 publications

References 10 publications

Towards a Framework for Enterprise Information System Evolution Steering

Towards a Framework for Enterprise Information System Evolution Steering

Towards P Systems Based Approach for Evolutionary Enterprise Application

Application and relational database co-refactoring

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