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• W2045682381 abstract "Effective system testing of applications with a Graphical User Interface (GUI) front-end demands careful generation of event sequences as well as providing relevant test data for parameterized widgets, i.e., widgets that accept input values such as textboxes and textareas. Current GUI testing techniques either manipulate the source code of the application under test (AUT) to generate the test data, or blindly use a set of random string values. In this paper, we propose a third novel way to generate relevant test data for GUI testing. We exploit the information provided in the GUI structure to extract a set of key identifiers for each parameterized widget. These identifiers are used to compose appropriate search phrases and collect relevant test data from the Internet. The results of an empirical study on five GUI-based applications show that the proposed approach is applicable and can get some hard-to-cover branches in the subject programs to execute. The proposed technique works from the black-box perspective and is entirely independent from GUI modeling and event sequence generation, thus it does not need access to the source code of AUT and provides an opportunity to be integrated with the existing GUI testing frameworks." @default.
• W2045682381 created "2016-06-24" @default.
• W2045682381 creator A5039676788 @default.
• W2045682381 creator A5053600558 @default.
• W2045682381 date "2014-10-01" @default.
• W2045682381 modified "2023-10-14" @default.
• W2045682381 title "Black-Box Test Data Generation for GUI Testing" @default.
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• W2045682381 doi "https://doi.org/10.1109/qsic.2014.42" @default.
• W2045682381 hasPublicationYear "2014" @default.
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