ISSTA 2019
28th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2019)
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28th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2019), July 15–19, 2019, Beijing, China

ISSTA 2019 – Preliminary Table of Contents

Contents - Abstracts - Authors


Title Page
Message from the Chairs
ISSTA 2019 Organization


Regression Event Selection for Android Applications
Aman Sharma and Rupesh Nasre
(IIT Madras, India)
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Improving Random GUI Testing with Image-Based Widget Detection
Thomas D. White, Gordon Fraser, and Guy J. Brown
(University of Sheffield, UK; University of Passau, Germany)
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Effective and Efficient API Misuse Detection via Exception Propagation and Search-Based Testing
Maria Kechagia, Xavier Devroey, Annibale Panichella, Georgios Gousios, and Arie van Deursen
(Delft University of Technology, Netherlands)
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Judge: Identifying, Understanding, and Evaluating Sources of Unsoundness in Call Graphs
Michael Reif, Florian Kübler, Michael Eichberg, Dominik Helm, and Mira Mezini
(TU Darmstadt, Germany)
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Codebase-Adaptive Detection of Security-Relevant Methods
Goran Piskachev, Lisa Nguyen Quang Do, and Eric Bodden
(Fraunhofer IEM, Germany; University of Paderborn, Germany)
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SARA: Self-Replay Augmented Record and Replay for Android in Industrial Cases
Jiaqi Guo, Shuyue Li, Jian-Guang Lou, Zijiang Yang, and Ting Liu
(Xi'an Jiaotong University, China; Microsoft Research, China; Western Michigan University, USA)
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Crash-Avoiding Program Repair
Xiang Gao, Sergey Mechtaev, and Abhik Roychoudhury
(National University of Singapore, Singapore; University College London, UK)
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Automated Program Repair via Bytecode Mutation: An Extensive Study
Ali Ghanbari, Samuel Benton, and Lingming Zhang
(University of Texas at Dallas, USA)
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Exploiting the Laws of Order in Smart Contracts
Aashish Kolluri, Ivica Nikolic, Ilya Sergey, Aquinas Hobor, and Prateek Saxena
(National University of Singapore, Singapore; Yale-NUS College, Singapore)
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Failure Clustering without Coverage
Mojdeh Golagha, Constantin Lehnhoff, Alexander Pretschner, and Hermann Ilmberger
(TU Munich, Germany; BMW, Germany)
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Adlib: Analyzer for Mobile Ad Platform Libraries
SungHo Lee and Sukyoung Ryu
(KAIST, South Korea)
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LibID: Reliable Identification of Obfuscated Third-Party Android Libraries
Jiexin Zhang, Alastair R. Beresford, and Stephan A. Kollmann
(University of Cambridge, UK)
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A Large-Scale Study of Application Incompatibilities in Android
Haipeng Cai, Ziyi Zhang, Li Li, and Xiaoqin Fu
(Washington State University, USA; Monash University, Australia)
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Optimal Context-Sensitive Dynamic Partial Order Reduction with Observers
Elvira Albert, Maria Garcia de la Banda, Miguel Gómez-Zamalloa, Miguel Isabel, and Peter J. Stuckey
(Complutense University of Madrid, Spain; Monash University, Australia)
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Automatically Testing Self-Driving Cars with Search-Based Procedural Content Generation
Alessio Gambi, Marc Mueller, and Gordon Fraser
(University of Passau, Germany; BeamNG, Germany)
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Interactive Metamorphic Testing of Debuggers
Sandro Tolksdorf, Daniel Lehmann, and Michael Pradel
(TU Darmstadt, Germany)
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Mitigating the Effects of Flaky Tests on Mutation Testing
August Shi, Jonathan Bell, and Darko Marinov
(University of Illinois at Urbana-Champaign, USA; George Mason University, USA)
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Learning User Interface Element Interactions
Christian Degott, Nataniel P. Borges Jr., and Andreas Zeller
(CISPA, Germany)
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Root Causing Flaky Tests in a Large-Scale Industrial Setting
Wing Lam, Patrice Godefroid, Suman Nath, Anirudh Santhiar, and Suresh Thummalapenta
(University of Illinois at Urbana-Champaign, USA; Microsoft, n.n.)
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Automated API-Usage Update for Android Apps
Mattia Fazzini, Qi Xin, and Alessandro Orso
(Georgia Institute of Technology, USA)
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Mining Android Crash Fixes in the Absence of Issue- and Change-Tracking Systems
Pingfan Kong, Li Li, Jun Gao, Tegawendé F. Bissyandé, and Jacques Klein
(University of Luxembourg, Luxembourg; Monash University, Australia)
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Assessing the State and Improving the Art of Parallel Testing for C
Oliver Schwahn, Nicolas Coppik, Stefan Winter, and Neeraj Suri
(TU Darmstadt, Germany)
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DeepFL: Integrating Multiple Fault Diagnosis Dimensions for Deep Fault Localization
Xia Li, Wei Li, Yuqun Zhang, and Lingming Zhang
(University of Texas at Dallas, USA; Southern University of Science and Technology, China)
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TestMig: Migrating GUI Test Cases from iOS to Android
Xue Qin, Hao Zhong, and Xiaoyin Wang
(University of Texas at San Antonio, USA; Shanghai Jiao Tong University, China)
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Semantic Fuzzing with Zest
Rohan Padhye, Caroline Lemieux, Koushik Sen, Mike Papadakis, and Yves Le Traon
(University of California at Berkeley, USA; University of Luxembourg, Luxembourg)
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History-Driven Build Failure Fixing: How Far Are We?
Yiling Lou, Junjie Chen, Lingming Zhang, Dan Hao, and Lu Zhang
(Peking University, China; University of Texas at Dallas, USA)
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DeepHunter: A Coverage-Guided Fuzz Testing Framework for Deep Neural Networks
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, and Simon See
(Nanyang Technological University, Singapore; Kyushu University, Japan; Carnegie Mellon University, USA; Macquarie University, Australia; Data61 at CSIRO, Australia; University of Illinois at Urbana-Champaign, USA; NVIDIA AI Tech Centre, n.n.)
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Search-Based Test and Improvement of Machine-Learning-Based Anomaly Detection Systems
Maxime Cordy, Steve Muller, Mike Papadakis, and Yves Le Traon
(University of Luxembourg, Luxembourg)
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Detecting Memory Errors at Runtime with Source-Level Instrumentation
Zhe Chen, Junqi Yan, Shuanglong Kan, Ju Qian, and Jingling Xue
(Nanjing University of Aeronautics and Astronautics, China; UNSW, Australia)
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