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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.

Conference Day
Thu 12 Nov

Displayed time zone: (UTC) Coordinated Universal Time change

01:30 - 02:00
Clustering Test Steps in Natural Language toward Automating Test Automation
Industry Papers
Linyi LiUniversity of Illinois at Urbana-Champaign, Zhenwen LiPeking University, China, Weijie ZhangTencent, China, Jun ZhouTencent, China, Pengcheng WangTencent, China, Jing WuTencent, China, Guanghua HeTencent, China, Xia ZengTencent, China, Yuetang DengTencent, Inc., Tao XiePeking University
PRF: A Framework for Building Automatic Program Repair Prototypes for JVM-Based Languages
Tool Demos
Ali GhanbariThe University of Texas at Dallas, Andrian MarcusUniversity of Texas at Dallas
DOI Pre-print
SOSRepair: Expressive Semantic Search for Real-World Program Repair
Journal First
Afsoon AfzalCarnegie Mellon University, Manish MotwaniUniversity of Massachusetts, Amherst, Kathryn StoleeNorth Carolina State University, Yuriy BrunUniversity of Massachusetts Amherst, Claire Le GouesCarnegie Mellon University
Link to publication DOI Pre-print Media Attached
tsDetect: An Open Source Test Smells Detection Tool
Tool Demos
Anthony PerumaRochester Institute of Technology, Khalid AlmalkiRochester Institute of Technology, USA, Christian D. NewmanRochester Institute of Technology, Mohamed Wiem MkaouerRochester Institute of Technology, Ali OuniETS Montreal, University of Quebec, Fabio PalombaUniversity of Salerno
DOI Pre-print Media Attached
Understanding and Automatically Detecting Conflicting Interactions between Smart Home IoT Applications
Research Papers
Rahmadi TrimanandaUniversity of California at Irvine, USA, Seyed Amir Hossein AqajariUniversity of California at Irvine, USA, Jason ChuangUniversity of California at Irvine, USA, Brian DemskyUniversity of California at Irvine, Guoqing Harry XuUniversity of California at Los Angeles, Shan LuUniversity of Chicago, USA
DOI Pre-print Media Attached File Attached
Conversations on Testing 2
Paper Presentations
Afsoon AfzalCarnegie Mellon University, Anthony PerumaRochester Institute of Technology, Linyi LiUniversity of Illinois at Urbana-Champaign, Rahmadi TrimanandaUniversity of California at Irvine, USA, M: Corina S. PăsăreanuCarnegie Mellon University Silicon Valley, NASA Ames Research Center