Crowdsourced Requirements Generation for Automatic Testing via Knowledge Graph
Crowdsourced testing provides an effective way to solve the problems of Android system fragmentation and application scenario diversity faced by Android testing. The generation of test requirements is a significant part of crowdsourced testing. However, manually generating crowdsourced testing requirements is tedious, which requires the issuers to have the domain knowledge of the Android application under test. To solve these problems, we have developed a tool named KARA, short for Knowledge Graph Aided Crowdsourced Requirements Generation for Android Testing. KARA first analyzes the result of automatic testing on the Android application, through which the operation sequences can be obtained. Then, the knowledge graph of the target application is constructed in the way of rapid completion. Finally, KARA utilizes knowledge graph and the automatic testing result to generate crowdsourced testing requirements with domain knowledge. Experiments prove that the test requirements generated by KARA are highly understandable, and KARA can improve the quality of crowdsourced testing. The demo video can be found at https://youtu.be/kE-dOiekWWM.
Wed 22 JulDisplayed time zone: Tijuana, Baja California change
16:30 - 17:33 | TOOL DEMOTool Demonstration at Zoom Chair(s): Owolabi Legunsen Cornell University Public Live Stream/Recording. Registered participants should join via the Zoom link distributed in Slack. | ||
16:30 7mTalk | CPSDebug: A Tool for Failure Explanation Tool Demonstration Ezio Bartocci Technische Universität Wien, Niveditha Manjunath Vienna University of Technology, Leonardo Mariani University of Milano Bicocca, Cristinel Mateis AIT Austrian Institute of Technology GmbH, Dejan Nickovic Austrian Institute of Technology, Fabrizio Pastore University of Luxembourg | ||
16:37 7mTalk | Crowdsourced Requirements Generation for Automatic Testing via Knowledge Graph Tool Demonstration | ||
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16:51 7mTalk | Echidna: Effective, Usable, and Fast Fuzzing for Smart Contracts Tool Demonstration Gustavo Grieco Trail of Bits, Will Song Trail of Bits, Artur Cygan Trail of Bits, Josselin Feist Trail of Bits, Alex Groce Northern Arizona University | ||
16:58 7mTalk | FineLock: Automatically Refactoring Coarse-grained Locks into Fine-grained Locks Tool Demonstration Yang Zhang Hebei University of Science and Technology, Shuai Shao Hebei University of Science and Technology, Juan Zhai Rutgers University, Shiqing Ma Rutgers University, USA | ||
17:05 7mTalk | ObjSim: Lightweight Automatic Patch Prioritization via Object Similarity Tool Demonstration Ali Ghanbari Iowa State University Pre-print | ||
17:12 7mTalk | ProFL: A Fault Localization Framework for Prolog Tool Demonstration George Thompson North Carolina A&T State University, Allison Sullivan The University of Texas at Arlington | ||
17:19 7mTalk | TauJud: Test Augmentation of Machine Learning in Judicial Documents Tool Demonstration Zichen Guo Nanjing University, Jiawei Liu Nanjing University, Tieke He Nanjing University, Zhuoyang Li Nanjing University, Peitian Zhangzhu Nanjing University | ||
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