A Meta-model for Representing Variability in Product Family Development

Bachmann, Felix; Goedicke, Michael; Leite, Julio César Sampaio do Prado; Nord, Robert L.; Pohl, Klaus; Ramesh, Balasubramaniam; Vilbig, Alexander

doi:10.1007/978-3-540-24667-1_6

Cited by 53 publications

(47 citation statements)

References 7 publications

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“…For example, two studies address separation of concerns, 12,21 another looks at organizing information into a hierarchical structure, 22 and orthogonal variability modeling offers a way to model variability separately from other artifacts. 23 However, no comprehensive solution yet exists.…”

Section: Voice Of Evidencementioning

confidence: 99%

Managing Variability in Software Product Lines

2010

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Section: Voice Of Evidencementioning

confidence: 99%

Managing Variability in Software Product Lines

2010

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“…Some examples of the widely used domain analysis techniques are Feature-Oriented Domain Analysis (FODA) [95] and Feature-Oriented Reuse Method (FORM) [96], which use feature models to organize system features into trees of nodes that represent the commonality and variability within a software product line. Another notation is the orthogonal variability model [14,141], which is a graph of variation points and variants.…”

Section: Software Product Line Methodsmentioning

confidence: 99%

Software architecture evolution through evolvability analysis

Breivold¹,

Crnković²,

Larsson³

2012

Journal of Systems and Software

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“…A variation point model that allows extension of components at pre-specified variation points is proposed in [6]. A conceptual model for capturing variability in a software product line is presented in [4]. All the three only support the notion of variation point and that too only at modeling level whereas we provide support for structural and behavioural levels.…”

Section: Related Workmentioning

confidence: 99%

Raising family is a good practice

Kulkarni

2010

Proceedings of the 2nd International Workshop on Feature-Oriented Software Development

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The need for adaptiveness of business applications is on the rise with continued increase in business dynamics. Code-centric techniques show unacceptable responsiveness in this dynamic context as business applications are subjected to changes along multiple dimensions that continue to evolve simultaneously. Recent literature suggests the use of product line architectures to increase adaptiveness by capturing commonality and variability to suitably configure the application. Use of model driven techniques for developing business applications is argued as a preferable option because platform independent specification can be retargeted to technology platform of choice through a code generation process. Business applications can be visualized to vary along five dimensions, namely, Functionality (F), Business process (P), Design decisions (D), Architecture (A) and Technology platform (T). Use of models is largely limited to F and P dimensions in commonly used model-driven development techniques thus limiting the benefits of product line concept to these two dimensions. We argue this is not sufficient to achieve the desired adaptiveness, and it is critical to extend the product line concept to D, A and T dimensions also. To address adaptation needs of business applications, this paper presents a model-driven generative approach that further builds on the ideas of separation of concerns, variability management and feature modeling. Early experience and lessons learnt are discussed, and future work outlined.

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A Meta-model for Representing Variability in Product Family Development

Cited by 53 publications

References 7 publications

Managing Variability in Software Product Lines

Managing Variability in Software Product Lines

Software architecture evolution through evolvability analysis

Raising family is a good practice

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