From feature models to feature toggles in practice
| Autor: | Jézéquel, Jean-Marc, Kienzle, Jörg, Acher, Mathieu |
|---|---|
| Přispěvatelé: | Diversity-centric Software Engineering (DiverSe), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-LANGAGE ET GÉNIE LOGICIEL (IRISA-D4), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), McGill University = Université McGill [Montréal, Canada] |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | SPLC 2022-26th ACM International Systems and Software Product Line Conference SPLC 2022-26th ACM International Systems and Software Product Line Conference, Sep 2022, Graz / Hybrid, Austria. pp.234-244, ⟨10.1145/3546932.3547009⟩ |
| DOI: | 10.1145/3546932.3547009⟩ |
| Popis: | International audience; Feature Toggles (often also referred to as Feature Flags) are a powerful technique, providing an alternative to maintaining multiple feature branches in source code. A condition within the code enables or disables a feature at runtime, hence providing a kind of runtime variability resolution. Several works have already identified the proximity of this concept with the notion of Feature found in Software Product Lines. In this paper, we propose to go one step further in unifying these concepts to provide a seamless transition between design time and runtime variability resolutions. We propose to model all the variability using a feature model. Then this feature model can be partially resolved at design time (yielding an incomplete product derivation), the unresolved variability being used to generate feature toggles that can be enabled/disabled at runtime. We first demonstrate these ideas on the toy example of the Expression Product Line, and then show how it can scale to build a configurable authentication system, where a partially resolved feature model can interface with popular feature toggle frameworks such as Togglz. |
| Databáze: | OpenAIRE |
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