A Human-centric and Environment-aware Testing Framework for Providing Safe and Reliable Cyber-Physical System Services

Authors

  • In-Young Ko School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
  • KyeongDeok Baek School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
  • Jung-Hyun Kwon School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
  • Hernan Lira School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
  • HyeongCheol Moon School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

DOI:

https://doi.org/10.13052/jwe1540-9589.1922

Keywords:

Service-oriented systems, Cyber-physical systems, Environmentaware testing, Service effects, Human cognitive resources

Abstract

The functions, capabilities, and effects produced by the application services of cyber physical systems (CPS) are usually consumed by users performing their daily activities in a variety of environmental conditions. Thus, it is critical to ensure that those systems neither interfere with human activities nor harm the users involved. In this paper, we propose a framework for testing and verifying the safety and reliability of CPS services from the perspectives of CPS environments and users. The framework provides an environmentaware testing method by which the efficiency of testing CPS services can be improved by prioritizing CPS environments and by applying machinelearning techniques. The framework also includes a metric by which we can automate the test of the most effective services that deliver effects from physical devices to users. Additionally, the framework provides a computational model that assesses mental workloads to test whether a CPS service can cause cognitive depletion or contention problems for users. We conducted a series of experiments to show the effectiveness of the proposed approaches for ensuring the safety and reliability of CPS application services during the development and operation phases.

Downloads

Download data is not yet available.

Author Biographies

In-Young Ko, School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

In-Young Ko is an associate professor in the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, Korea. He received his Ph.D. in computer science from the University of Southern California (USC) in 2003. Prof. Ko’s research interests include services computing, web engineering, and software engineering.

KyeongDeok Baek, School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

KyeongDeok Baek is currently a Ph.D. candidate in the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, Korea. He also got his bachelor’s degree in the School of Computing, KAIST, Korea. His research interests is on solving service-oriented computing problems in Internet of Things (IoT) domain, by using reinforcement learning techniques.

Jung-Hyun Kwon, School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

Jung-Hyun Kwon received his Ph.D. degree in the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, Korea, in 2019. He is currently a researcher in Korea Telecom, South Korea. His research interests include software engineering, AI-based enterprise applications, and network management systems.

Hernan Lira, School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

Hernan Lira received his Master’s degree in the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, Korea. He got his bachelor’s degree at University of Chile. His research interests include cognitive engineering and AI systems.

HyeongCheol Moon, School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

HyeongCheol Moon received his Master’s degree in the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, Korea. He also got his bachelor’s degree in the School of Computing, KAIST, Korea. His research interests is on Vehicle-to-Everything, Internet of Things, and services computing.

References

Domenico Amalfitano, Anna Rita Fasolino, and Porfirio Tramontana. A gui crawling-based technique for android mobile application testing. In Software testing, verification and validation workshops (icstw), 2011 ieee fourth international conference on, pages 252–261. IEEE, 2011.

John R Anderson, Michael Matessa, and Christian Lebiere. Act-r: A theory of higher level cognition and its relation to visual attention. Human-Computer Interaction, 12(4):439–462, 1997.

KyeongDeok Baek and In-Young Ko. Effect-driven dynamic selection of physical media for visual iot services using reinforcement learning. In 2019 IEEE International Conference on Web Services (ICWS), pages 41–49. IEEE, 2019.

Ian L Bailey and Jan E Lovie. New design principles for visual acuity letter charts. American journal of optometry and physiological optics, 53(11):740–745, 1976.

Jim Blascovich, Jack Loomis, Andrew C Beall, Kimberly R Swinth, Crystal L Hoyt, and Jeremy N Bailenson. Immersive virtual environment technology as a methodological tool for social psychology. Psychological Inquiry, 13(2):103–124, 2002.

Sebastian Elbaum, Alexey Malishevsky, and Gregg Rothermel. Incorporating varying test costs and fault severities into test case prioritization. In Proceedings of the 23rd International Conference on Software Engineering, pages 329–338. IEEE Computer Society, 2001.

Thomas Fritz, Andrew Begel, Sebastian C Müller, Serap Yigit-Elliott, and Manuela Züger. Using psycho-physiological measures to assess task difficulty in software development. In Proceedings of the 36th international conference on software engineering, pages 402–413. ACM, 2014.

Levent Gurgen, Ozan Gunalp, Yazid Benazzouz, and Mathieu Gallissot. Self-aware cyber-physical systems and applications in smart buildings and cities. In Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013, pages 1149–1154. IEEE, 2013.

Eija Haapalainen, SeungJun Kim, Jodi F Forlizzi, and Anind K Dey. Psycho-physiological measures for assessing cognitive load. In Proceedings of the 12th ACM international conference on Ubiquitous computing, pages 301–310. ACM, 2010.

Sandra G Hart and Lowell E Staveland. Development of nasa-tlx (task load index): Results of empirical and theoretical research. In Advances in psychology, volume 52, pages 139–183. Elsevier, 1988.

Reyhaneh Jabbarvand, Alireza Sadeghi, Hamid Bagheri, and Sam Malek. Energy-aware test-suite minimization for android apps. In Proceedings of the 25th International Symposium on Software Testing and Analysis, pages 425–436. ACM, 2016.

Hammad Khalid, Meiyappan Nagappan, Emad Shihab, and Ahmed E Hassan. Prioritizing the devices to test your app on: A case study of android game apps. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, pages 610–620. ACM, 2014.

Gene Kim, Jez Humble, Patrick Debois, and John Willis. The DevOps Handbook:: How to Create World-Class Agility, Reliability, and Security in Technology Organizations. IT Revolution, 2016.

In-Young Ko, KyeongDeok Baek, Jung-Hyun Kwon, Hernan Lira, and HyeongCehol Moon. Environment-aware and human-centric software testing framework for cyber-physical systems. In 2nd International Workshop on Maturity of Web Engineering Practices (MATWEP 2019. International Conference on Web Engineering, 2019.

In-Young Ko, Han-Gyu Ko, Angel Jimenez Molina, and Jung-Hyun Kwon. Soiot: Toward a user-centric iot-based service framework. ACM Transactions on Internet Technology (TOIT), 16(2):8, 2016.

Jung-Hyun Kwon, In-Young Ko, and Gregg Rothermel. Prioritizing browser environments for web application test execution. In 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), pages 468–479. IEEE, 2018.

Jay Lee, Behrad Bagheri, and Hung-An Kao. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3:18–23, 2015.

Hernan Lira, In-Young Ko, and Angel Jimenez-Molina. Mental workload assessment in smartphone multitasking users: A feature selection approach using physiological and simulated data. In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pages 639–642. IEEE, 2018.

Xiao Ma, Megan Cackett, Leslie Park, Eric Chien, and Mor Naaman. Web-based vr experiments powered by the crowd. In Proceedings of the 2018 World Wide Web Conference on World Wide Web, pages 33–43. International World Wide Web Conferences Steering Committee, 2018.

Lijun Mei, Zhenyu Zhang, WK Chan, and TH Tse. Test case prioritization for regression testing of service-oriented business applications. In Proceedings of the 18th international conference on World wide web, pages 901–910. ACM, 2009.

David Navon and Daniel Gopher. On the economy of the human-processing system. Psychological review, 86(3):214, 1979.

Sungjin Park, Sungoo Jeong, and Rohae Myung. Modeling of multiple sources of workload and time pressure effect with act-r. International Journal of Industrial Ergonomics, 63:37–48, 2018.

Cyber-physical systems. https://www.nsf.gov/pubs/2008/nsf08611/nsf08611.htm. accessed January 25, 2019.

Dario D Salvucci and Niels A Taatgen. The multitasking mind. Oxford University Press, 2010.

Amitai Shenhav, Sebastian Musslick, Falk Lieder, Wouter Kool, Thomas L Griffiths, Jonathan D Cohen, and Matthew M Botvinick. Toward a rational and mechanistic account of mental effort. Annual review of neuroscience, 40:99–124, 2017.

Herman Snellen. Probebuchstaben zur bestimmung der sehschärfe, volume 1. H. Peters, 1873.

Christopher D Wickens. Multiple resources and mental workload. Human factors, 50(3):449–455, 2008.

Ke Zhai, Bo Jiang, and WK Chan. Prioritizing test cases for regression testing of location-based services: Metrics, techniques, and case study. IEEE Transactions on Services Computing, 7(1):54–67, 2014.

Downloads

Published

2020-06-03

How to Cite

Ko, I.-Y., Baek, K., Kwon, J.-H., Lira, H., & Moon, H. (2020). A Human-centric and Environment-aware Testing Framework for Providing Safe and Reliable Cyber-Physical System Services. Journal of Web Engineering, 19(2), 139–166. https://doi.org/10.13052/jwe1540-9589.1922

Issue

Section

SPECIAL ISSUE: Advanced Practices in Web Engineering 2020