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Thu 12 Nov 2020 01:39 - 01:40 at Virtual room 2 - Testing 2

Smart home devices provide the convenience of remotely control-ling and automating home appliances. The most advanced smart home environments allow developers to write apps to make smart home devices work together to accomplish tasks, e.g., home security and energy conservation. A smart home app typically implements narrow functionality and thus to fully implement desired functionality homeowners may need to install multiple apps. These different apps can conflict with each other and these conflicts can result in undesired actions such as locking the door during a fire.

In this paper, we study conflicts between apps on Samsung SmartThings, the most popular platform for developing and deploying smart home IoT devices. By collecting and studying 198 official and 69 third-party apps, we found significant app conflicts in 3 categories: (1) close to 60% of app pairs that access the same device, (2) more than 90% of app pairs with physical interactions, and (3) around 11% of app pairs that access the same global variable. Our results suggest that the problem of conflicts between smart home apps is serious and can create potential safety risks. We then developed a conflict detection tool that uses model checking to automatically detect up to 96% of the conflicts.

Thu 12 Nov

Displayed time zone: (UTC) Coordinated Universal Time change

01:30 - 02:00
01:30
2m
Talk
Clustering Test Steps in Natural Language toward Automating Test Automation
Industry Papers
Linyi Li University of Illinois at Urbana-Champaign, Zhenwen Li Peking University, China, Weijie Zhang Tencent, China, Jun Zhou Tencent, China, Pengcheng Wang Tencent, China, Jing Wu Tencent, China, Guanghua He Tencent, China, Xia Zeng Tencent, China, Yuetang Deng Tencent, Inc., Tao Xie Peking University
DOI
01:33
1m
Talk
PRF: A Framework for Building Automatic Program Repair Prototypes for JVM-Based Languages
Tool Demos
Ali Ghanbari The University of Texas at Dallas, Andrian Marcus University of Texas at Dallas
DOI Pre-print
01:35
1m
Talk
SOSRepair: Expressive Semantic Search for Real-World Program Repair
Journal First
Afsoon Afzal Carnegie Mellon University, Manish Motwani University of Massachusetts, Amherst, Kathryn Stolee North Carolina State University, Yuriy Brun University of Massachusetts Amherst, Claire Le Goues Carnegie Mellon University
Link to publication DOI Pre-print Media Attached
01:37
1m
Talk
tsDetect: An Open Source Test Smells Detection Tool
Tool Demos
Anthony Peruma Rochester Institute of Technology, Khalid Almalki Rochester Institute of Technology, USA, Christian D. Newman Rochester Institute of Technology, Mohamed Wiem Mkaouer Rochester Institute of Technology, Ali Ouni ETS Montreal, University of Quebec, Fabio Palomba University of Salerno
DOI Pre-print Media Attached
01:39
1m
Talk
Understanding and Automatically Detecting Conflicting Interactions between Smart Home IoT Applications
Research Papers
Rahmadi Trimananda University of California at Irvine, USA, Seyed Amir Hossein Aqajari University of California at Irvine, USA, Jason Chuang University of California at Irvine, USA, Brian Demsky University of California at Irvine, Guoqing Harry Xu University of California at Los Angeles, Shan Lu University of Chicago, USA
DOI Pre-print Media Attached File Attached
01:41
19m
Talk
Conversations on Testing 2
Paper Presentations
Afsoon Afzal Carnegie Mellon University, Anthony Peruma Rochester Institute of Technology, Linyi Li University of Illinois at Urbana-Champaign, Rahmadi Trimananda University of California at Irvine, USA, M: Corina S. Păsăreanu Carnegie Mellon University Silicon Valley, NASA Ames Research Center