DMMPP: Constructing Dummy Main Methods for Android Apps with Path-sensitive Predicates
This program is tentative and subject to change.
Android is based on an event-driven model, which hides the main method, and is driven by the lifecycle methods and listeners from user interaction. FlowDroid, a flow-sensitive analysis framework, constructs a dummy main method statically emulating the lifecycle methods as its entry point, which also have been widely reused by other Android analyzers as their entry points. However, the existing dummy main method is not designed for path-sensitive analysis, whose paths are unsatisfiable. Thus, when using original dummy main methods, path-sensitive analysis, e.g., symbolic execution, may suffer from infeasible paths. In this paper, we present DMMPP, the first dummy main method generator for Android applications with path-sensitive predicates, of which a path condition consists is satisfiable. DMMPP constructs dummy main methods for the four types of components in an application with a more realistic simulation for the lifecycle methods. The experiment demonstrates the benefits of our tool for path-sensitive analyzers, improving 43 times explored paths with a low time overhead.
This program is tentative and subject to change.
Wed 18 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
15:30 - 17:00 | |||
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16:21 12mTalk | DMMPP: Constructing Dummy Main Methods for Android Apps with Path-sensitive Predicates Tool Demonstrations Baoquan Cui Institute of Software at Chinese Academy of Sciences, China, Jiwei Yan Institute of Software at Chinese Academy of Sciences, China, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
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