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Soojin Park1, Sungyong Park2, Kyeongwook Ma3
1Graduate School of Management of Technology, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Korea. psjdream@sogang.ac.kr.
This study introduces an automated method for detecting quality issues in Internet of Things (IoT) systems by analyzing user activity models. Resolving detected symptoms improved mobile application usage success rates by 21%.
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