Dynamic analysis has emerged as a pivotal technique for testing Android apps, enabling the detection of bugs, malicious code, and vulnerabilities. A key metric in evaluating the efficacy of tools employed by both research and practitioner communities for this purpose is code coverage. Obtaining code coverage typically requires planting probes within apps to gather coverage data during runtime. Due to the general unavailability of source code to analysts, there is a necessity for instrumenting apps to insert these probes in black-box environments. However, the tools available for such instrumentation are limited in their reliability and require intrusive changes interfering with apps’ functionalities.
This paper introduces AndroLog a novel tool developed on top of the Soot framework, designed to provide fine-grained coverage information at multiple levels, including class, methods, statements, and Android components. In contrast to existing tools, AndroLog leaves the responsibility to test apps to analysts, and its motto is simplicity. As demonstrated in this paper, AndroLog can instrument up to 98% of recent Android apps compared to existing tools with 79% and 48% respectively for COSMO and ACVTool. AndroLog also stands out for its potential for future enhancements to increase granularity on demand. We make AndroLog available to the community and provide a video demonstration of AndroLog (see section 8).
Wed 17 JulDisplayed time zone: Brasilia, Distrito Federal, Brazil change
16:00 - 18:00 | Testing 2Demonstrations / Ideas, Visions and Reflections / Research Papers / Industry Papers at Pitanga Chair(s): Wing Lam George Mason University | ||
16:00 18mTalk | Metamorphic Testing of Secure Multi-Party Computation (MPC) Compilers Research Papers Dongwei Xiao Hong Kong University of Science and Technology, Zhibo Liu The Hong Kong University of Science and Technology, Qi Pang Carnegie Mellon University, Shuai Wang The Hong Kong University of Science and Technology, Yichen LI Hong Kong University of Science and Technology | ||
16:18 18mTalk | Mobile Bug Report Reproduction via Global Search on the App UI Model Research Papers Zhaoxu Zhang University of Southern California, Fazle Mohammed Tawsif University of Southern California, Komei Ryu University of Southern California, Tingting Yu University of Connecticut, William G.J. Halfond University of Southern California | ||
16:36 18mTalk | FinHunter: Improved Search-based Test Generation for Structural Testing of FinTech Systems Industry Papers Xuanwen Ding East China Normal University, Qingshun Wang East China Normal University, Dan Liu East China Normal University, Lihua Xu New York University Shanghai, Jun Xiao Ant Group Co. Ltd., Bojun Zhang Ant Group Co. Ltd., Xue Li Ant Group Co. Ltd., Liang Dou East China Normal University, Liang He East China Normal University, Tao Xie Peking University | ||
16:54 9mTalk | Tests4Py: A Benchmark for System Testing Demonstrations Marius Smytzek CISPA Helmholtz Center for Information Security, Martin Eberlein Humboldt University of Berlin, Batuhan Serce CISPA Helmholtz Center for Information Security, Lars Grunske Humboldt-Universität zu Berlin, Andreas Zeller CISPA Helmholtz Center for Information Security Pre-print Media Attached | ||
17:03 9mTalk | On Polyglot Program Testing Ideas, Visions and Reflections Philémon Houdaille DIVERSE Team, IRISA-INRIA, CNRS, Université Rennes 1, Djamel Eddine Khelladi CNRS, IRISA, University of Rennes, Benoit Combemale University of Rennes, Inria, CNRS, IRISA, Gunter Mussbacher McGill University DOI Pre-print | ||
17:12 9mTalk | Ctest4J: A Practical Configuration Testing Framework for Java Demonstrations Shuai Wang University of Illinois at Urbana-Champaign, Xinyu Lian University of Illinois at Urbana-Champaign, Qingyu Li University of Illinois at Urbana-Champaign, Darko Marinov University of Illinois at Urbana-Champaign, Tianyin Xu University of Illinois at Urbana-Champaign Pre-print | ||
17:21 9mTalk | Predicting Test Results without Execution Ideas, Visions and Reflections Andre Hora UFMG Pre-print Media Attached | ||
17:30 9mTalk | Py-holmes: Causal Testing for Deep Neural Networks in Python Demonstrations Wren McQueary George Mason University, sadia afrin mim George Mason University, Nishat Raihan George Mason University, Justin Smith Lafayette College, Brittany Johnson George Mason University Pre-print | ||
17:39 9mTalk | AndroLog: Android Instrumentation and Code Coverage Analysis Demonstrations Jordan Samhi CISPA Helmholtz Center for Information Security, Andreas Zeller CISPA Helmholtz Center for Information Security DOI Pre-print | ||
17:48 9mTalk | PathSpotter: Exploring Tested Paths to Discover Missing Tests Demonstrations Andre Hora UFMG Pre-print Media Attached |