DMMPP: Constructing Dummy Main Methods for Android Apps with Path-sensitive Predicates
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.
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, Jian Zhang Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences | ||
16:34 12mTalk | FunRedisp: A Function Redispatch Tool to Reduce Invocation Gas Fees in Solidity Smart Contracts Tool Demonstrations Yunqi Liu Nanjing University of Science and Technology, Wei Song Nanjing University of Science and Technology Media Attached | ||
16:47 12mTalk | The Flexcrash Platform for Testing Autonomous Vehicles in Mixed-Traffic Scenarios Tool Demonstrations Alessio Gambi Austrian Institute of Technology (AIT), Shreya Mathews IMC University of Applied Sciences Krems, Benedikt Steininger IMC University of Applied Sciences Krems, Mykhailo Poienko IMC University of Applied Sciences Krems, David Bobek IMC University of Applied Sciences Krems |