Development of Tooling to Support Fact-Oriented Modeling at ESA

Lemmens, Inge; Sgaramella, Francesco; Valera, Serge

doi:10.1007/978-3-642-05290-3_87

Cited by 9 publications

(2 citation statements)

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“…The conceptual level and the verbalization capabilities of the Object-Role Modeling (ORM) methodology have been proved to bring considerable advantages to the inherently collaborative requirements engineering activities in large international projects [1] [2]. However, the basic ORM methodology mainly addresses the representation of statics aspects.…”

Section: Introductionmentioning

confidence: 99%

Referencing Capabilities for Collaborative Engineering of Conceptual Process Modeling with Object-Role Modeling

Gianni

Bocciarelli

D’Ambrogio

2014

2014 IEEE 23rd International WETICE Conference

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Conceptual modeling has been proved to bring tangible advantages as a mean to formalize specifications in collaborative multi-partner projects. Particularly, the ObjectRole Modeling language-the most prominent conceptual data modeling language-offers verbalization capabilities that ensure a common semantic understanding of the data specification, specifically for complex data systems and for non-native English speakers. However, ORM is primarily aimed at data specifications and has been more marginally used for process specifications. The paper reports part of the results on an experimental activity undertaken to probe the use of ORM for conceptual process modeling. In particular, the paper introduces the definitions of referencing capabilities for linking data models to the activity-the fundamental element of a process-models in ORM. Specifically, two new concepts have been identified as potentially necessary for supporting conceptual process modeling using ORM: Extended Facts, for distinguishing current Facts from potentially true Facts; and Set of Facts for indicating the Extended Facts affected by the activity. An activity schema definition also shows how these concepts can support the definition of an ORM interlayer for conceptual process modeling.

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Section: Introductionmentioning

confidence: 99%

Referencing Capabilities for Collaborative Engineering of Conceptual Process Modeling with Object-Role Modeling

Gianni

Bocciarelli

D’Ambrogio

2014

2014 IEEE 23rd International WETICE Conference

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“…Recently, the Object-Role Modeling (ORM) [9] has had an increasing use in academia (see, e.g., [10]) and industry, namely in European Space Agency [11] and Microsoft [12], as a conceptual data model methodology.…”

Section: Introductionmentioning

confidence: 99%

A Query Processing Strategy for Conceptual Queries Based on Object-Role Modeling

Rosado

Cardoso

2010

2010 Fourth International Conference on Network and System Security

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There have been several authors asserting that conceptual query languages (CQLs) perform better for querying purposes than logical query languages such as SQL. This paper proposes a query mapping algorithm for the FConQuer system. FConQuer is a framework based on object-role modeling (ORM) schemas, which allow the end-user to formulate conceptual queries through the FConQuer language. Our mapping algorithm allows the FConQuer system to process conceptual queries based on ORM schemas. More precisely, our algorithm maps FConQuer queries to OQL.

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Data Policy Definition and Verification for System of Systems Governance

Gianni

2014

Modeling and Simulation Support for System of Systems Engineering Applications

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Development of Tooling to Support Fact-Oriented Modeling at ESA

Cited by 9 publications

References 1 publication

Referencing Capabilities for Collaborative Engineering of Conceptual Process Modeling with Object-Role Modeling

Referencing Capabilities for Collaborative Engineering of Conceptual Process Modeling with Object-Role Modeling

A Query Processing Strategy for Conceptual Queries Based on Object-Role Modeling

Data Policy Definition and Verification for System of Systems Governance

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