2011
DOI: 10.1049/pbpc009e
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Model-Based Requirements Engineering

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Cited by 36 publications
(43 citation statements)
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“…This paper takes as its start point the Approach to Contextbased Requirements Engineering (ACRE) [3]. ACRE has been applied very successfully at the systems level, but has not yet been applied at the system of systems level.…”
Section: Model-based Requirements Engineering For Systems Of Systemsmentioning
confidence: 99%
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“…This paper takes as its start point the Approach to Contextbased Requirements Engineering (ACRE) [3]. ACRE has been applied very successfully at the systems level, but has not yet been applied at the system of systems level.…”
Section: Model-based Requirements Engineering For Systems Of Systemsmentioning
confidence: 99%
“…In order to realize these benefits, however, there are a number of areas that must be addressed [3].…”
Section: Introductionmentioning
confidence: 99%
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“…However, for [5] a single view model of the system does not explicitly fit all situation of the system life cycle. According to [5,7,26], these models or standards can be used to determine all phases of the life cycle, but they contain particular characteristics that make them more suitable for specific phases. For instance, the waterfall is suitable for defining phases, because this model uses the feedback concept ensuring and revising the information integrity during a single phase [27].…”
Section: Cross-systems Life Cycle Requirements Interoperation Issuementioning
confidence: 99%
“…While approaches such as model-based systems engineering (MBSE) have been studied in [6,7,8], for improving the definition of requirements based on models, there is still a semantic gap between all requirements definitions when they are defined in different domains for the same engineering project and requirement consistency management in different systems life cycle phases. In order to cope with this challenge, we are working to define a conceptual framework that aims to formally model requirements interoperation in term of impact and semantic equivalence or subsumption.…”
Section: Introductionmentioning
confidence: 99%