The development of context-aware applications is a difficult and error-prone task. The dynamics of the environmental context combined with the complexity of the applications poses a vast number of possibilities for mistakes during the creation of new applications. Therefore it is important to test applications before they are deployed in a life system. For this reason, this paper proposes a testing tool, which will allow for automatic generation of various test cases from application description documents. Semantic annotations are used to create specific test data for context-aware applications. A test case reduction methodology based on test case diversity investigations ensures scalability of the proposed automated testing approach.


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    Title :

    Automated Testing of Context-Aware Applications


    Contributors:


    Publication date :

    2015-09-01


    Size :

    168017 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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