Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/125
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dc.contributor.authorAsthana, Siddhartha-
dc.contributor.authorSingh, Pushpendra-
dc.date.accessioned2014-04-28T08:45:43Z-
dc.date.available2014-04-28T08:45:43Z-
dc.date.issued2014-04-28T08:45:43Z-
dc.identifier.urihttps://repository.iiitd.edu.in/jspui/handle/123456789/125-
dc.description.abstractDialing a telephone number of an organization and coming across an automated system attending the call, instead of a human, has become common. These automated applications are known as Interactive Voice Response (IVR) systems. IVR system provides 24x7 connectivity to an organization and many critical applications like customer care services and call routing run on IVR. Thus, it is important to have well tested IVR applications with all the necessary optimization tested by the IVR developers. A variety of tools available to test the IVR system at the infrastructure and system levels. However, a lack of testing tools at the application level, often forces developers to write their own customized test scripts or manually test the system. Manual testing is time consuming as it involves actually calling and listening to how an IVR application behaves. In this paper, we present MockTell, a tool for the call emulation with ability to mimic user behavior. MockTell has ability to dial a phone number, listen to a voice prompt, enter the required DTMF1 or recorded speech input for testing IVR applications. MockTell can also use data generated from real world calls for call emulation. Mimicking user behavior provides the ability to optimize and evaluate the performance of IVR applications. MockTell also enables developers and researchers to automate various other application tests as well, thus providing a complete testing tool for IVR applications.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesIIITD-TR-2014-001-
dc.subjectEmulatorsen_US
dc.subjectIVRen_US
dc.subjectToolen_US
dc.subjectTestingen_US
dc.subjectUser Modellingen_US
dc.titleAutomated testing of interactive voice response applicationsen_US
dc.typeTechnical Reporten_US
Appears in Collections:Year-2014

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