Realistic Context Generation For Mobile App Testing And Performance Evaluation
2017 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM)(2017)
摘要
Mobile app testing and evaluation requires exposing the app to a wide array of real world context conditions viz. location, sensor values, network conditions etc. Such comprehensive context conditions are difficult to create in a development environment on a real device, therefore, simulating them in a mobile emulator is a promising alternative. We present ContextMonkey, a framework for context generation in a mobile emulator. ContextMonkey can generate realistic context by leveraging traces in correlated and interdependent way from heterogenous sources: remote trace databases, models, and trace files. It eases the burden on developers to collect correlated traces, convert them to a common format, and feed them to the emulator in an orchestrated manner. We present examples demonstrating the simplicity and potential of ContextMonkey in app testing scenarios.
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关键词
context generation,mobile application testing,performance evaluation,mobile emulator,ContextMonkey,heterogenous sources,remote trace databases,trace files,correlated traces
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