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ICSE 2020
Wed 24 June - Thu 16 July 2020
Sat 11 Jul 2020 01:05 - 01:17 at Goguryeo - P29-Android and Web Testing Chair(s): Hironori Washizaki

Successful cross-language clone detection could enable researchers and developers to create robust language migration tools, facilitate learning additional programming languages once one is mastered, and promote reuse of code snippets over a broader code base. However, identifying cross-language clones presents special challenges to the clone detection problem. A lack of common underlying representation between arbitrary languages means detecting clones requires one of the following solutions: 1) a static analysis framework replicated across each targeted language with annotations matching language features across all languages, or 2) a dynamic analysis framework that detects clones based on runtime behavior.

In this work, we demonstrate the feasibility of the latter solution, a dynamic analysis approach for cross-language clone detection. As an added challenge, we target a static typed language, Java, and a dynamic typed language, Python. As is done in prior clone detection work, we use input/output behavior to match clones, though we overcome limitations of prior work by amplifying the number of inputs and covering more data types; and as a result, achieve better clusters than prior attempts. Compared to HitoshiIO, a recent clone detection tool, SLACC retrieves 6x as many clusters and has higher precision (86.7% vs. 30.7%).

This is the first work to perform clone detection for dynamic typed languages (precision = 87.3%) and the first to perform clone detection across languages that lack a common underlying representation (precision = 94.1%). It provides a first step towards the larger goal of extensible and scalable language migration tools.

Sat 11 Jul

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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 Università 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