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  1. Proceedings of the 4th International Workshop on Feature-Oriented Software Development (FOSD '12)
  2. Safe adaptation in context-aware feature models
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Toward variability-aware testing
Conditioned model slicing of feature-annotated state machines
Comparing program comprehension of physically and virtually separated concerns
Object-oriented design in feature-oriented programming
Architectural variability management in multi-layer web applications through feature models
Ensuring well-formedness of configured domain models in model-driven product lines based on negative variability
Supporting multiple feature binding strategies in NX
Safe adaptation in context-aware feature models
Towards a catalog of variability evolution patterns: the Linux kernel case
Challenges in the evolution of model-based software product lines in the automotive domain

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Safe adaptation in context-aware feature models

Content Provider ACM Digital Library
Author Andrade, Rossana M. C. Marinho, Fabiana G. Costa, Paulo A. S. Maia, Paulo H. M. Werner, Claudia Vidal, Vania M. P.
Abstract Software product lines, usually described using feature models, have proven to be a feasible solution to develop mobile and context-aware applications. These applications use context information to provide services and data for their users from anywhere and at any time. However, building feature models for mobile and context-aware software product lines demands advanced skills of software engineers, since it comprises system and context information. Moreover, to guarantee a correct application execution, these models must be thoroughly specified, composed and verified to check whether some composition and adaptation rules are violated. Although this is an important task, there is a lack of formalization of such rules, which makes it difficult to use those rules for feature models verification. In this paper, we propose an approach to prevent defects in context-aware feature models and in their product reconfiguration based on formal methods. To validate our work, we developed a prototype to check the correctness of context-aware feature models.
Starting Page 54
Ending Page 61
Page Count 8
File Format PDF
ISBN 9781450313094
DOI 10.1145/2377816.2377824
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-09-24
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Formal method Context-aware spl Feature model
Content Type Text
Resource Type Article
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