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 \(\mathcal{P}{(N)}\). Furthermore, we formalize the representation of soft constraints in fuzzy \(\mathcal{P}{(N)}\) 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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References
Pohl, K., Böckle, G., Van Der Linden, F.: Software Product Line Engineering: Foundations, Principles, and Techniques. Springer, Heidelberg (2005)
Czarnecki, K., Helsen, S., Eisenecker, U.: Staged configuration using feature models. In: Nord, R.L. (ed.) SPLC 2004. LNCS, vol. 3154, pp. 266–283. Springer, Heidelberg (2004)
Kang, K., Lee, J., Donohoe, P.: Feature-oriented product line engineering. IEEE Software 19, 58–65 (2002)
Lopez-Herrejon, R., Batory, D.: A standard problem for evaluating product-line methodologies. In: Bosch, J. (ed.) GCSE 2001. LNCS, vol. 2186, pp. 10–24. Springer, Heidelberg (2001)
Mendonca, M., Wasowski, A., Czarnecki, K., Cowan, D.: Efficient compilation techniques for large scale feature models. In: International Conference on GPCE, pp. 13–22 (2008)
Wang, H., Li, Y., Sun, J., Zhang, H., Pan, J.: Verifying feature models using OWL. Web Semantics: Science, Services and Agents on the World Wide Web 5, 117–129 (2007)
Batory, D.: Feature models, grammars, and propositional formulas. In: Obbink, H., Pohl, K. (eds.) SPLC 2005. LNCS, vol. 3714, pp. 7–20. Springer, Heidelberg (2005)
Ragone, A., Noia, T.D., Sciascio, E.D., Donini, F.M.: Logic-based automated multi-issue bilateral negotiation in peer-to-peer e-marketplaces. JAAMAS 16, 249–270 (2008)
Sommerville, I., Sawyer, P.: Viewpoints: principles, problems and a practical approach to requirements engineering. Annals of Software Engineering 3, 101–130 (1997)
Ausiello, G., Crescenzi, P., Kann, V., Marchetti-Sp, Gambosi, G., Spaccamela, A.M.: Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties (2003)
Papadimitriou, C., Steiglitz, K.: Combinatorial Optimization: algorithms and Complexity. Prentice-Hall, Inc., Englewood Cliffs (1982)
Mamdani, E.: Application of fuzzy logic to approximate reasoning using linguistic synthesis. In: Sixth International Symposium on Multiple-Valued Logic, pp. 196–202 (1976)
Yager, R., Filev, D.: Essentials of fuzzy modeling and control. John Wiley, Chichester (1994)
Schobbens, P., Heymans, P., Trigaux, J.: Feature diagrams: A survey and a formal semantics. In: 14th IEEE International Conference Requirements Engineering, pp. 139–148 (2006)
Janota, M., Kiniry, J.: Reasoning about feature models in higher-order logic. In: Software Product Line Conference 2007, pp. 13–22 (2007)
Benavides, D., Segura, S., Trinidad, P., Ruiz-Cortes, A.: FAMA: Tooling a framework for the automated analysis of feature models. In: VAMOS Workshop, pp. 129–134 (2007)
Benavides, D., Trinidad, P., Ruiz-Cortes, A.: Automated reasoning on feature models. In: Pastor, Ó., Falcão e Cunha, J. (eds.) CAiSE 2005. LNCS, vol. 3520, pp. 491–503. Springer, Heidelberg (2005)
Batory, D.: Feature models, grammars, and propositional formulas. In: Obbink, H., Pohl, K. (eds.) SPLC 2005. LNCS, vol. 3714, pp. 7–20. Springer, Heidelberg (2005)
Benavides, D., Segura, S., Trinidad, P., Ruiz-Cortés, A.: A first step towards a framework for the automated analysis of feature models. Technical Report (2006)
Jackson, D.: Alloy: a lightweight object modelling notation. ACM Trans. Softw. Eng. Methodol. 11, 256–290 (2002)
Gheyi, R., Massoni, T., Borba, P.: A theory for feature models in alloy. In: First Alloy Workshop, pp. 71–80 (2006)
Czarnecki, K., She, S., Wasowski, A.: Sample spaces and feature models: There and back again. In: SPLC 2008, pp. 22–31. IEEE Computer Society, Washington (2008)
Robak, S., Pieczynski, A.: Employing fuzzy logic in feature diagrams to model variability in software product-lines. In: ECBS 2003, pp. 305–311 (2003)
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Bagheri, E., Di Noia, T., Ragone, A., Gasevic, D. (2010). Configuring Software Product Line Feature Models Based on Stakeholders’ Soft and Hard Requirements. In: Bosch, J., Lee, J. (eds) Software Product Lines: Going Beyond. SPLC 2010. Lecture Notes in Computer Science, vol 6287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15579-6_2
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DOI: https://doi.org/10.1007/978-3-642-15579-6_2
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