Towards a testing approach for feature-based context-oriented programming systems

Over the last few years, research on systems able to adapt their behaviour to their environment attracted more and more attention. More specifically, feature-based context-oriented programming aims at creating a software that adapts to "contexts" by using concepts inspired from feature modelling. Developers who create systems with this paradigm need a way to test complex software. One problem is the exponential number of possible configurations, and thus, the impossibility to test them all. However, thanks to the testing approach we propose, inspired by combinatorial interaction testing (CIT), the number of test cases that needs to be considered is no longer exponential. By using the generated test cases, we can thoroughly test a feature-based context-oriented system with humanly readable scenarios.