An overview of regression testing
ACM SIGSOFT Software Engineering Notes
Data flow analysis techniques for test data selection
ICSE '82 Proceedings of the 6th international conference on Software engineering
Use case-based testing of product lines
Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering
Product family testing: a survey
ACM SIGSOFT Software Engineering Notes
Software Product Line Engineering: Foundations, Principles and Techniques
Software Product Line Engineering: Foundations, Principles and Techniques
Communications of the ACM - Software product line
Determining the variation degree of feature models
SPLC'05 Proceedings of the 9th international conference on Software Product Lines
Integration testing of software product lines using compositional symbolic execution
FASE'12 Proceedings of the 15th international conference on Fundamental Approaches to Software Engineering
A survey on software product line testing
Proceedings of the 16th International Software Product Line Conference - Volume 1
Strategies for testing products in software product lines
ACM SIGSOFT Software Engineering Notes
Bow tie testing: a testing pattern for product lines
Proceedings of the 16th European Conference on Pattern Languages of Programs
SPLLIFT: statically analyzing software product lines in minutes instead of years
Proceedings of the 34th ACM SIGPLAN conference on Programming language design and implementation
Defining variability in activity diagrams and Petri nets
Science of Computer Programming
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Many software product line testing techniques have been presented in the literature. The majority of those techniques address how to define reusable test assets (such as test models or test scenarios) in domain engineering and how to exploit those assets during application engineering. In addition to test case reuse however, the execution of test cases constitutes one important activity during application testing. Without a systematic support for the test execution in application engineering, while considering the specifics of product lines, product line artifacts might be tested redundantly. Redundant testing in application engineering, however, can lead to an increased testing effort without increasing the chance of uncovering failures. In this paper, we propose the model-based ScenTED-DF technique to avoid redundant testing in application engineering. Our technique builds on data flow-based testing techniques for single systems and adapts and extends those techniques to consider product line variability. The paper sketches the prototypical implementation of our technique to show its general feasibility and automation potential, and it describes the results of experiments using an academic product line to demonstrate that ScenTED-DF is capable of avoiding redundant tests in application engineering.