Feature modeling is a technique for capturing commonality and variability. Feature models symbolize a representation of the possible application configuration space, and can be customized based on specific domain requirements and stakeholder goals. Most feature model configuration processes neglect the need to have a holistic approach towards the integration and satisfaction of the stakeholder's soft and hard constraints, and the application-domain integrity constraints. In this paper, we will show how the structure and constraints of a feature model can be modeled uniformly through Propositional Logic extended with concrete domains, called . Furthermore, we formalize the representation of soft constraints in fuzzy and explain how semi-automated feature model configuration is performed. The model configuration derivation process that we propose respects the soundness and completeness properties
Configuring Software Product Line Feature Models based on Stakeholders’ Soft and Hard Requirements / Bagheri, E.; DI NOIA, Tommaso; Ragone, A.; Gasevic, D.. - 6287:(2010), pp. 16-31. (Intervento presentato al convegno 14th International Conference on Software Product Lines: Going Beyond, SPLC 2010 tenutosi a Jeju Island, South Korea nel September 13-17, 2010) [10.1007/978-3-642-15579-6_2].
Configuring Software Product Line Feature Models based on Stakeholders’ Soft and Hard Requirements
DI NOIA, Tommaso;
2010-01-01
Abstract
Feature modeling is a technique for capturing commonality and variability. Feature models symbolize a representation of the possible application configuration space, and can be customized based on specific domain requirements and stakeholder goals. Most feature model configuration processes neglect the need to have a holistic approach towards the integration and satisfaction of the stakeholder's soft and hard constraints, and the application-domain integrity constraints. In this paper, we will show how the structure and constraints of a feature model can be modeled uniformly through Propositional Logic extended with concrete domains, called . Furthermore, we formalize the representation of soft constraints in fuzzy and explain how semi-automated feature model configuration is performed. The model configuration derivation process that we propose respects the soundness and completeness propertiesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.