Evaluation of tools for automatedacceptance testing of webapplications

Abstract: Auddly provides a music management tool that gathers all information about a musical piece in oneplace. The acceptance testing on their web application is done manually, which has become bothtime and money consuming. To solve this problem, an evaluation on automated acceptance testingwas done to find a testing tool suitable for their web application. The evaluation was performed byfinding the current existing testing strategies to later compare the tools implementing these strategies.When analyzing the results it was found that two testing strategies were best suited for automatedacceptance testing. The Visual Recognition strategy that identifies components using screenshotsand the Record and Replay strategy that identifies them by their underlying ID. The choice betweenthem depends on which of these properties are modified more often.It was also found that automating acceptance testing is best applied for regression testing, otherwiseit should be performed with a manual approach.It was made clear that the Selenium tool, which uses the Record and Replay strategy, was best suitedfor Auddly’s acceptance testing. Selenium is able to test AJAX-calls with a manual modificationand is a free and open source tool with a large community.