Helion: Enabling Natural Testing of Smart Homes
August 13, 2023 Β· Declared Dead Β· π ESEC/SIGSOFT FSE
"No code URL or promise found in abstract"
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Authors
Prianka Mandal, Sunil Manandhar, Kaushal Kafle, Kevin Moran, Denys Poshyvanyk, Adwait Nadkarni
arXiv ID
2308.06695
Category
cs.CR: Cryptography & Security
Cross-listed
cs.SE
Citations
2
Venue
ESEC/SIGSOFT FSE
Last Checked
3 months ago
Abstract
Prior work has developed numerous systems that test the security and safety of smart homes. For these systems to be applicable in practice, it is necessary to test them with realistic scenarios that represent the use of the smart home, i.e., home automation, in the wild. This demo paper presents the technical details and usage of Helion, a system that uses n-gram language modeling to learn the regularities in user-driven programs, i.e., routines developed for the smart home, and predicts natural scenarios of home automation, i.e., event sequences that reflect realistic home automation usage. We demonstrate the HelionHA platform, developed by integrating Helion with the popular Home Assistant smart home platform. HelionHA allows an end-to-end exploration of Helion's scenarios by executing them as test cases with real and virtual smart home devices.
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