作者: Domenico Amalfitano , Nicola Amatucci , Anna Rita Fasolino , Porfirio Tramontana
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摘要: Recent studies have shown a remarkable need for testing automation techniques in the context of mobile applications. The main contributions literature field regard such as Capture/Replay, Model Based, Learning and Random techniques. Unfortunately, only last two typologies are applicable if no previous knowledge about application under is available. able to generate effective test suites (in terms source code coverage) but they effort machine time tests quite inefficient due their redundancy. more efficient often do not reach good levels coverage. In order that both efficient, we propose this paper AGRippin, novel Search Based Testing technique founded on combination genetic hill climbing We carried out case study involving five open Android applications has demonstrated how proposed than ones generated by technique.