DroidMate-2: A Platform for Android Test Generation

Pereira Borges Jr., Nataniel and Hotzkow, Jenny and Zeller, Andreas
(2018) DroidMate-2: A Platform for Android Test Generation.
In: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering.
Conference: ASE Automated Software Engineering Conference

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Official URL: http://doi.acm.org/10.1145/3238147.3240479

Abstract

Android applications (apps) represent an ever increasing portion of the software market. Automated test input generators are the state of the art for testing and security analysis. We introduce DroidMate-2 (DM-2), a platform to easily assist both developers and researchers to customize, develop and test new test generators. DM-2 can be used without app instrumentation or operating system modifications, as a test generator on real devices and emulators for app testing or regression testing. Additionally, it provides sensitive resource monitoring or blocking capabilities through a lightweight app instrumentation, out-of-the-box statement coverage measurement through a fully-fledged app instrumentation and native experiment reproducibility. In our experiments we compared DM-2 against DroidBot, a state-of-the-art test generator by measuring statement coverage. Our results show that DM-2 reached 96% of its peak coverage in less than 2/3 of the time needed by DroidBot, allowing for better and more efficient tests. On short runs (5 minutes) DM-2 outperformed DroidBot by 7% while in longer runs (1 hour) this difference increases to 8%. ACM DL Artifact: https://www.doi.org/10.1145/3264864. For the details see: https://github.com/uds-se/droidmate/wiki/ASE-2018:-Data

Item Type: Conference or Workshop Item (A Paper) (Poster)
Uncontrolled Keywords: Android, dynamic analysis, test generation
Divisions: Andreas Zeller (Software Engineering, ST)
Conference: ASE Automated Software Engineering Conference
Depositing User: Jenny Rau
Date Deposited: 03 Dec 2020 11:21
Last Modified: 17 Oct 2022 10:10
Primary Research Area: NRA5: Empirical & Behavioral Security
URI: https://publications.cispa.saarland/id/eprint/3170

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