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  1. Proceedings of the 4th International Workshop on Feature-Oriented Software Development (FOSD '12)
  2. Toward variability-aware testing
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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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Toward variability-aware testing

Content Provider ACM Digital Library
Author Pusch, Jonas Rendel, Tillmann Kästner, Christian Erdweg, Sebastian Apel, Sven von Rhein, Alexander Ostermann, Klaus
Abstract We investigate how to execute a unit test for all products of a product line without generating each product in isolation in a brute-force fashion. Learning from variability-aware analyses, we (a) design and implement a variability-aware interpreter and, alternatively, (b) reencode variability of the product line to simulate the test cases with a model checker. The interpreter internally reasons about variability, executing paths not affected by variability only once for the whole product line. The model checker achieves similar results by reusing powerful off-the-shelf analyses. We experimented with a prototype implementation for each strategy. We compare both strategies and discuss trade-offs and future directions. In the long run, we aim at finding an efficient testing approach that can be applied to entire product lines with millions of products.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781450313094
DOI 10.1145/2377816.2377817
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-09-24
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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