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Automatic Test Scenario Generation Technique for Medical Cyber Physical Systems

by Afrina Khatun, Naushin Nower
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 5
Year of Publication: 2017
Authors: Afrina Khatun, Naushin Nower

Afrina Khatun, Naushin Nower . Automatic Test Scenario Generation Technique for Medical Cyber Physical Systems. International Journal of Computer Applications. 176, 5 ( Oct 2017), 1-8. DOI=10.5120/ijca2017915585

@article{ 10.5120/ijca2017915585,
author = { Afrina Khatun, Naushin Nower },
title = { Automatic Test Scenario Generation Technique for Medical Cyber Physical Systems },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 176 },
number = { 5 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017915585 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:41:41.239232+05:30
%A Afrina Khatun
%A Naushin Nower
%T Automatic Test Scenario Generation Technique for Medical Cyber Physical Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 5
%P 1-8
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

Medical Cyber Physical Systems (MCPS) are life-critical, contextaware, and networked systems of software controlled medical devices, that are responsible for monitoring and controlling the physical dynamics of patient’s bodies. MCPS are designed to provide high-quality continuous care for patients in complex clinical scenarios, and also thus arise various safety issues compare with the traditional medical systems. Controller software makes important decisions in MCPS, that can directly affect peoples lives and thus it is needed to validate and verify the whole MCPS system to ensure patient’s safety. Although various techniques have been proposed in literature to ensure safety of MCPS, most of them follow model based simulation and do not provide any test cases for logically testing the whole systems. An automated test scenario generation approach for assisting the task of safety assurance of MCPS has been proposed in this paper. The proposed technique takes system state models as a input and extracts necessary information to generate state graph. In the next step, it extracts all possible system state transitions. And, finally generates test scenarios based on the extracted paths and stores them in text documents for the tester. The proposed technique has been applied on a Generic Patient Controlled Analgesia Pump Model and has been successful to generate test scenarios covering all the transitions of the state models. Thus, it automatically generates all the test cases and by testing all the paths in the system can ensure the safety of patients.

  1. Lee, Edward A. “Cyber physical systems: Design challenges.” Object oriented real-time distributed computing (isorc), 2008 11th IEEE international symposium on. IEEE, 2008.
  2. Nower, Naushin, Yasuo Tan, and Azman Osman Lim. “Traffic pattern based data recovery scheme for cyber-physical systems.” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 97.9 (2014): 1926- 1936.
  3. Lee, Insup, and Oleg Sokolsky. “Medical cyber physical systems.” Design Automation Conference (DAC), 2010 47th ACM/IEEE. IEEE, 2010.
  4. Murugesan, Anitha, et al. “From requirements to code: model based development of a medical cyber physical system.” (2014).
  5. Lee, Insup, et al. “Challenges and research directions in medical cyberphysical systems.” Proceedings of the IEEE 100.1 (2012): 75-90.
Index Terms

Computer Science
Information Sciences


Medical Cyber Physical Systems UML diagram Test case generation Patient