Mobile Bug Report Reproduction via Global Search on the App UI Model
Bug report reproduction is an important, but time-consuming task carried out during mobile app maintenance. To accelerate this task, current research has proposed automated reproduction techniques that rely on a guided dynamic exploration of the app to match bug report steps with UI events in a mobile app. However, these techniques struggle to find the correct match when the bug reports have missing or inaccurately described steps. To address these limitations, we propose a new bug report reproduction technique that uses an app’s UI model to perform a global search across all possible matches between steps and UI actions and identify the most likely match while accounting for the possibility of missing or inaccurate steps. To do this, our approach redefines the bug report reproduction process as a Markov model and finds the best paths through the model using a dynamic programming based technique. We conducted an empirical evaluation on 72 real-world bug reports. Our approach achieved a 94% reproduction rate on the total bug reports and a 93% reproduction rate on bug reports with missing steps, significantly outperforming the state-of-the-art approaches. Our approach was also more effective in finding the matches from the steps to UI events than the state-of-the-art approaches.
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 |