Publications

Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements

Ebrahim Bagheri and Tommaso Di Noia and Azzurra Ragone and Dragan Gasevic
Reference:
Ebrahim Bagheri; Tommaso Di Noia; Azzurra Ragone and Dragan Gasevic Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements. In SPLC, pages 16-31, 2010.
Links to Publication: [doi]
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 stakeholders' 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 P(N). Furthermore, we formalize the representation of soft constraints in fuzzy P(N) and explain how semi-automated feature model configuration is performed. The model configuration derivation process that we propose respects the soundness and completeness properties.
Bibtex Entry:
@inproceedings{DBLP:conf/splc/BagheriNRG10, author = {Ebrahim Bagheri and Tommaso Di Noia and Azzurra Ragone and Dragan Gasevic}, title = {Configuring Software Product Line Feature Models Based on Stakeholders' Soft and Hard Requirements}, booktitle = {SPLC}, year = {2010}, pages = {16-31}, ee = {http://dx.doi.org/10.1007/978-3-642-15579-6_2}, crossref = {DBLP:conf/splc/2010}, bibsource = {DBLP, http://dblp.uni-trier.de}, 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 stakeholders' 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 P(N). Furthermore, we formalize the representation of soft constraints in fuzzy P(N) and explain how semi-automated feature model configuration is performed. The model configuration derivation process that we propose respects the soundness and completeness properties. } }




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