Like all software, mobile applications ("apps") must be adequately tested to gain confidence that they behave correctly. Therefore, in recent years, researchers and practitioners alike have begun to investigate ways to automate apps testing. In particular, because of Android's open source nature and its large share of the market, a great deal of research has been performed on input generation techniques for apps that run on the Android operating systems. At this point in time, there are in fact a number of such techniques in the literature, which differ in the way they generate inputs, the strategy they use to explore the behavior of the app under test, and the specific heuristics they use. To better understand the strengths and weaknesses of these existing approaches, and get general insight on ways they could be made more effective, in this paper we perform a thorough comparison of the main existing test input generation tools for Android. In our comparison, we evaluate the effectiveness of these tools, and their corresponding techniques, according to four metrics: ease of use, ability to work on multiple platforms, code coverage, and ability to detect faults. Our results provide a clear picture of the state of the art in input generation for Android apps and identify future research directions that, if suitably investigated, could lead to more effective and efficient testing tools for Android. 1 As discussed in Section III, we had to exclude some tools from our study. 2015 30th IEEE/ACM International Conference on Automated Software Engineering 978-1-5090-0025-8/15 $31.00
Shauvik et al. REF presented a comparative study of the main existing test input generation techniques and corresponding tools for Android.
Automated Test Input Generation for Android: Are We There Yet? (E)
2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)
2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)
Computer Science