Modeling and Testing Legacy Data Consistency Requirements

Nytun, Jan Pettersen; Jensen, Christian S.

doi:10.1007/978-3-540-45221-8_29

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…This diagram refers to Claim from the Argumentation Metamodel, which also refers to the Evidence Metamodel. Circular references between the class diagrams of a metamodel can cause problems when creating or analysing a model [44,45,46]. In summary, why and how to use formal assertions, and more specifically for safety evidence management, is not completely clear to us.…”

Section: Fig 9 Formal Assertions Class Diagrammentioning

confidence: 99%

An analysis of safety evidence management with the Structured Assurance Case Metamodel

Génova

Álvarez-Rodríguez

Lloréns

2017

Computer Standards & Interfaces

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Section: Fig 9 Formal Assertions Class Diagrammentioning

confidence: 99%

An analysis of safety evidence management with the Structured Assurance Case Metamodel

Génova

Álvarez-Rodríguez

Lloréns

2017

Computer Standards & Interfaces

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“…Our article (Nytun and Jensen, 2003) focused on the consistency problems that occur when previously uncoordinated, but semantically overlapping data sources are being integrated. The paper presented techniques for modelling consistency requirements using OCL and other UML modelling elements.…”

Section: Legacy Data Consistency As Examplementioning

confidence: 99%

“…The engine is also attaching a premade border engine at L6, it is this engine that automatically produces the consistency model instance and the consistency report when triggered. This last engine is an adapted implementation of the algorithm presented in (Nytun and Jensen, 2003).…”

Section: Implementation In Siwamentioning

confidence: 99%

A Generic Model for Connecting Models in a Multilevel Modelling Framework

Nytun¹

2006

Proceedings of the First International Conference on Software and Data Technologies

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In science and elsewhere models are weaved together forming complex knowledge structures. This article presents a generic way of connecting models with model borders both vertically and horizontally in a multilevel modelling framework. One model can be connected vertically to several models allowing a model element to be an instance of several metaclasses and different views can then be managed in an integrated way. Models at the same level can also be connected by defining the correspondence between model elements. The idea behind the approach is to break model architectures down to elementary building blocks so that all parts that might be of interest become explicit and accessible.

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Integrated Model-Based Software Development, Data Access, and Data Migration

Bordbar

Draheim

Horn³

et al. 2005

Model Driven Engineering Languages and Systems

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Abstract. In this paper we describe a framework for robust system maintenance that addresses specific challenges of data-centric applications. We show that for data-centric applications, classical simultaneous roundtrip engineering approaches are not sufficient. Instead we propose an architecture that is an integrated model-based approach for software development, database access and data migration. We explain the canonical development process to exploit its features. We explain how the approach fits into the model-driven architecture vision. We report on experiences with the approach in the IMIS environmental mass database project.

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Modeling and Testing Legacy Data Consistency Requirements

Cited by 4 publications

References 30 publications

An analysis of safety evidence management with the Structured Assurance Case Metamodel

An analysis of safety evidence management with the Structured Assurance Case Metamodel

A Generic Model for Connecting Models in a Multilevel Modelling Framework

Integrated Model-Based Software Development, Data Access, and Data Migration

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