Software systems could be seen as a hierarchy of features which are evolving due to the dynamic of the working environments. The companies who build software thus need to make an appropriate strategy, which takes into consideration of such dynamic, to select features to be implemented. In this work, we propose an approach to facilitate such selection by providing a means to capture the uncertainty of evolution in feature models. We also provide two analyses to support the decision makers. The approach is exemplified in the Smart Grid scenario.

An approach for decision support on the uncertainty in feature model evolution / Tran, Le Minh Sang; Massacci, Fabio. - STAMPA. - (2014), pp. 93-102. (Intervento presentato al convegno RE 2014 tenutosi a Karlskrona, Sweden nel 25-29 August 2014) [10.1109/RE.2014.6912251].

An approach for decision support on the uncertainty in feature model evolution

Tran, Le Minh Sang;Massacci, Fabio
2014-01-01

Abstract

Software systems could be seen as a hierarchy of features which are evolving due to the dynamic of the working environments. The companies who build software thus need to make an appropriate strategy, which takes into consideration of such dynamic, to select features to be implemented. In this work, we propose an approach to facilitate such selection by providing a means to capture the uncertainty of evolution in feature models. We also provide two analyses to support the decision makers. The approach is exemplified in the Smart Grid scenario.
2014
2014 IEEE 22nd International Requirements Engineering Conference, RE 2014 - Proceedings
Washington
IEEE Computer Society
9781479930333
Tran, Le Minh Sang; Massacci, Fabio
An approach for decision support on the uncertainty in feature model evolution / Tran, Le Minh Sang; Massacci, Fabio. - STAMPA. - (2014), pp. 93-102. (Intervento presentato al convegno RE 2014 tenutosi a Karlskrona, Sweden nel 25-29 August 2014) [10.1109/RE.2014.6912251].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/99648
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