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ICSE 2020
Wed 24 June - Thu 16 July 2020
Sat 11 Jul 2020 01:17 - 01:25 at Goguryeo - P29-Android and Web Testing Chair(s): Hironori Washizaki

Automated web testing techniques infer models from a given web app, which are used for test generation. From a testing viewpoint, such an inferred model should contain the minimal set of states that are distinct, yet, adequately cover the app’s main functionalities. In practice, models inferred automatically are affected by near-duplicates, i.e., replicas of the same functional webpage differing only by small insignificant changes. We present the first study of near-duplicate detection algorithms used in within app model inference. We first characterize functional near-duplicates by classifying a random sample of state-pairs, from 493k pairs of webpages obtained from over 6,000 websites, into three categories, namely clone, near-duplicate, and distinct. We systematically compute thresholds that define the boundaries of these categories for each detection technique. We then use these thresholds to evaluate 10 near-duplicate detection techniques from three different domains, namely, information retrieval, web testing, and computer vision on nine open-source web apps. Our study highlights the challenges posed in automatically inferring a model for any given web app. Our findings show that even with the best thresholds, no algorithm is able to accurately detect all functional near-duplicates within apps, without sacrificing coverage.

Sat 11 Jul

Displayed time zone: (UTC) Coordinated Universal Time change

01:05 - 02:05
P29-Android and Web TestingDemonstrations / Technical Papers / Software Engineering in Practice at Goguryeo
Chair(s): Hironori Washizaki Waseda University
01:05
12m
Talk
SLACC: Simion-based Language Agnostic Code ClonesArtifact ReusableTechnical
Technical Papers
George Mathew North Carolina State University, Chris Parnin North Carolina State University, Kathryn Stolee North Carolina State University
Pre-print
01:17
8m
Talk
Near-Duplicate Detection in Web App Model InferenceTechnicalArtifact Available
Technical Papers
Rahulkrishna Yandrapally University of British Columbia, Canada, Andrea Stocco UniversitĂ  della Svizzera italiana, Ali Mesbah University of British Columbia
Pre-print
01:25
12m
Talk
JSidentify: A Hybrid Framework for Detecting Plagiarism Among JavaScript Code in Online Mini GamesSEIP
Software Engineering in Practice
Qun Xia Tencent Inc., Zhongzhu Zhou , Zhihao Li Tencent Inc., Bin Xu Tencent Inc., Wei Zou Tencent Inc., Zishun Chen Tencent Inc., Huafeng Ma Tencent Inc., Gangqiang Liang Tencent Inc., Haochuan Lu Fudan University, Shiyu Guo Tencent Inc., Ting Xiong Tencent Inc., Yuetang Deng Tencent, Inc., Tao Xie Peking University
01:37
12m
Talk
Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep LearningACM SIGSOFT Distinguished Paper AwardsTechnical
Technical Papers
Jieshan Chen Australian National University, Chunyang Chen Monash University, Zhenchang Xing Australia National University, Xiwei Xu Data 61, Liming Zhu CSIRO's Data61 and UNSW, Guoqiang Li Shanghai Jiao Tong University, Jinshui Wang School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China
01:49
3m
Talk
DroidMutator: An Effective Mutation Analysis Tool for Android ApplicationsDemo
Demonstrations
Jian Liu East China Normal University, Xusheng Xiao Case Western Reserve University, Lihua Xu New York University Shanghai, Liang Dou East China Normal University, Andy Podgurski Case Western University
01:52
3m
Talk
BigTest: Symbolic Execution Based Systematic Test Generation Tool for Apache SparkDemo
Demonstrations
Muhammad Ali Gulzar University of California, Los Angeles, Madan Musuvathi Microsoft Research, Miryung Kim University of California, Los Angeles