[Remote] Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned
Healthcare Internet of Things (IoT) applications require rigorous testing to ensure their dependability. Such applications are typically integrated with various third-party healthcare applications and medical devices through REST APIs. This integrated network of healthcare IoT applications leads to REST APIs with complicated and interdependent structures, thus creating a major challenge for automated system-level testing. We report an industrial evaluation of a state-of-the-art REST APIs testing approach (RESTest) on a real-world healthcare IoT application. We analyze the effectiveness of RESTest’s testing strategies regarding REST APIs failures, faults in the application, and REST API coverage, by experimenting with six REST APIs of 41 API endpoints of the healthcare IoT application. Results show that several failures are discovered in different REST APIs with ≈56% coverage using RESTest. Moreover, nine potential faults are identified. Using the evidence collected from the experiments, we provide our experiences and lessons learned.
Wed 6 DecDisplayed time zone: Pacific Time (US & Canada) change
11:00 - 12:30 | Testing IIIIndustry Papers / Demonstrations / Research Papers at Golden Gate C1 Chair(s): Tianyi Zhang Purdue University | ||
11:00 15mTalk | [Remote] Heterogeneous Testing for Coverage Profilers Empowered with Debugging Support Research Papers Yibiao Yang State Key Laboratory for Novel Software Technology, Nanjing University, Maolin Sun Nanjing University, Yang Wang National Key Laboratory for Novel Software Technology, Nanjing University, Qingyang Li National Key Laboratory for Novel Software Technology, Nanjing University, Ming Wen Huazhong University of Science and Technology, Yuming Zhou Nanjing University Pre-print Media Attached | ||
11:15 7mTalk | [Remote] Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned Industry Papers Hassan Sartaj Simula Research Laboratory, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Tao Yue Beihang University, Kjetil Moberg Norwegian Health Authority DOI Pre-print Media Attached | ||
11:23 7mTalk | Helion: Enabling Natural Testing of Smart Homes Demonstrations Prianka Mandal William & Mary, Sunil Manandhar IBM T.J. Watson Research Center, Kaushal Kafle College of William & Mary, Kevin Moran University of Central Florida, Denys Poshyvanyk William & Mary, Adwait Nadkarni William & Mary Media Attached | ||
11:30 15mTalk | NeuRI: Diversifying DNN Generation via Inductive Rule Inference Research Papers Jiawei Liu University of Illinois at Urbana-Champaign, Jinjun Peng Columbia University, Yuyao Wang Nanjing University, Lingming Zhang University of Illinois at Urbana-Champaign Pre-print Media Attached | ||
11:45 15mTalk | Appaction: Automatic GUI Interaction for Mobile Apps via Holistic Widget Perception Industry Papers Yongxiang Hu Fudan University, China, Jiazhen Gu Fudan University, China, Shuqing Hu Fudan University, Yu Zhang Meituan, Wenjie Tian Meituan, Shiyu Guo Meituan, Chaoyi Chen Meituan, Yangfan Zhou Fudan University DOI Media Attached | ||
12:00 15mTalk | MuRS: Mutant Ranking and Suppression using Identifier Templates Industry Papers Zimin Chen KTH Royal Institute of Technology, Malgorzata Salawa Google, Manushree Vijayvergiya Google, Goran Petrović Google Inc, Marko Ivanković Google; Universität Passau, René Just University of Washington DOI Media Attached | ||
12:15 15mTalk | Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer Research Papers Shubham Agarwal Adobe Research, Sarthak Chakraborty Adobe Research, Shaddy Garg Adobe Research, Sumit Bisht Amazon, Chahat Jain Traceable.ai, Ashritha Gonuguntla Cisco, Shiv Saini Adobe Research Media Attached |