Flexible Product Line Derivation Applied to a Model Based Systems Engineering Process

Dumitrescu, Cosmin E.; Tessier, Patrick; Salinesi, Camille; Gérard, Sébastien; Dauron, Alain

doi:10.1007/978-3-642-34404-6_15

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The definition of additional viewpoints on variability can broaden the scope of the system analysis (e.g., taking into account supported variability for suppliers may influence decisions for component selection). Furthermore, in our case, we also rely on the definition of viewpoints to partially define the flow of choices for product line derivation [9]. Successive partial derivations enable the engineer to gradually reduce the solution space and generate specific deliverables for each project milestone.…”

Section: Identification Of Concepts For the Representation Of Variabimentioning

confidence: 99%

Capturing Variability in Model Based Systems Engineering

Dumitrescu

Tessier²,

Salinesi³

et al. 2014

Complex Systems Design &Amp; Management

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Automotive model-based systems engineering needs to be adapted to the industry specific needs, in particular by implementing appropriate means of representing and operating with variability. We rely on existing modeling techniques as an opportunity to provide a description of variability adapted to a systems engineering model. However, we also need to take into account requirements related to backwards compatibility with current practices, given the industry experience in mass customization. We propose to adopt the product line paradigm in model-based systems engineering by extending the orthogonal variability model, and adapting it to our specific needs. This brings us to an expression closer to a description of constraints, related to both orthogonal variability, and to SysML system models. We introduce our approach through a discussion on the different aspects that need to be covered for expressing variability in systems engineering. We explore these aspects by observing an automotive case study, and relate them to a list of contextual requirements for variability management.

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Section: Identification Of Concepts For the Representation Of Variabimentioning

confidence: 99%

Capturing Variability in Model Based Systems Engineering

Dumitrescu

Tessier²,

Salinesi³

et al. 2014

Complex Systems Design &Amp; Management

Self Cite

View full text Add to dashboard Cite

show abstract

“…Each partial configuration has an impact on specific system model items [15]. The main concern is to follow the systems engineering approach, providing partial models for document generation at each project milestone.…”

Section: Industrial Casementioning

confidence: 99%