On quantitative requirements for product lines

Axel Legay, Gilles Perrouin

Résultats de recherche: RechercheArticle dans les actes d'une conférence/un colloque

Résumé

Software Product Line Engineering (SPLE) aims at developing a large number of software systems that share a common and managed set of features [5]. In the past years, it has been an active area in both research and industry. SPLE aims at improving productivity and reducing the time, effort, and cost required to develop a family of products (also called variants). The key point to achieve this goal is to manage the variability among various products of a Software Product Line (SPL). Variability is commonly expressed in terms of features, i.e., units of difference between software products. A product can thus be viewed as a set of features. Dependencies between features are typically represented in a Feature Model (FM), whose ultimate purpose is to define which combinations of features (that is, which products) are valid. Behavior of both the features and the core behavior (i.e., the behavior shared by all products in the line) may be represented by (variants of) state machines.
langueAnglais
titreProceedings of the Eleventh International Workshop on Variability Modelling of Software-intensive Systems
Sous-titreVaMoS 2017, Eindhoven, Netherlands, February 1-3, 2017
Lieu de publicationEindhoven
EditeurACM Press
Pages2-4
Nombre de pages3
ISBN (imprimé)978-1-4503-2138-9
Les DOIs
étatPublié - 2017

Empreinte digitale

Productivity
Costs
Industry

Citer ceci

Legay, A., & Perrouin, G. (2017). On quantitative requirements for product lines. Dans Proceedings of the Eleventh International Workshop on Variability Modelling of Software-intensive Systems: VaMoS 2017, Eindhoven, Netherlands, February 1-3, 2017 (p. 2-4). Eindhoven: ACM Press. DOI: 10.1145/3023956.3023970
Legay, Axel ; Perrouin, Gilles. / On quantitative requirements for product lines. Proceedings of the Eleventh International Workshop on Variability Modelling of Software-intensive Systems: VaMoS 2017, Eindhoven, Netherlands, February 1-3, 2017. Eindhoven : ACM Press, 2017. p. 2-4
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Legay, A & Perrouin, G 2017, On quantitative requirements for product lines. Dans Proceedings of the Eleventh International Workshop on Variability Modelling of Software-intensive Systems: VaMoS 2017, Eindhoven, Netherlands, February 1-3, 2017. ACM Press, Eindhoven, p. 2-4. DOI: 10.1145/3023956.3023970

On quantitative requirements for product lines. / Legay, Axel; Perrouin, Gilles.

Proceedings of the Eleventh International Workshop on Variability Modelling of Software-intensive Systems: VaMoS 2017, Eindhoven, Netherlands, February 1-3, 2017. Eindhoven : ACM Press, 2017. p. 2-4.

Résultats de recherche: RechercheArticle dans les actes d'une conférence/un colloque

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AB - Software Product Line Engineering (SPLE) aims at developing a large number of software systems that share a common and managed set of features [5]. In the past years, it has been an active area in both research and industry. SPLE aims at improving productivity and reducing the time, effort, and cost required to develop a family of products (also called variants). The key point to achieve this goal is to manage the variability among various products of a Software Product Line (SPL). Variability is commonly expressed in terms of features, i.e., units of difference between software products. A product can thus be viewed as a set of features. Dependencies between features are typically represented in a Feature Model (FM), whose ultimate purpose is to define which combinations of features (that is, which products) are valid. Behavior of both the features and the core behavior (i.e., the behavior shared by all products in the line) may be represented by (variants of) state machines.

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Legay A, Perrouin G. On quantitative requirements for product lines. Dans Proceedings of the Eleventh International Workshop on Variability Modelling of Software-intensive Systems: VaMoS 2017, Eindhoven, Netherlands, February 1-3, 2017. Eindhoven: ACM Press. 2017. p. 2-4. Disponible à, DOI: 10.1145/3023956.3023970