Test Case Generation to Medical Cyber-Physical Systems: A Scoping Review

Authors

  • Johnattan Douglas Ferreira Viana Federal Rural University of Semi-Arid (UFERSA)
  • Álvaro Alvares de Carvalho César Sobrinho Federal University of the Agreste of Pernambuco (UFAPE)
  • Lenardo Chaves e Silva Federal Rural University of Semi-Arid (UFERSA)

Keywords:

Test Case Generation, Medical Cyber-Physical Systems, Scoping Review

Abstract

Objective: This article presents a Scoping Review (ScR) identify the approaches to automatically generate test cases from Cyber-Physical Systems (CPS) models, more specifically, Medical Cyber-Physical Systems (MCPS) models. Method: ScR was performed by identifying indexed articles in five electronic databases using a specific search string and selection criteria, defined in a review protocol. Results: When protocol was executed, 467 studies were returned, from which 12 were summarized. Several formal and semi-formal notations used in CPS modeling were identified, as well as tools for generating test cases for such systems. Furthermore, we present an overview of the state-of-the-art regarding automatic test case generation for such systems models. Conclusion: Based on the results, we conclude there is a research gap with regard to tools for the fully automatic test case generation in MCPS.

Author Biography

Johnattan Douglas Ferreira Viana, Federal Rural University of Semi-Arid (UFERSA)

Mestrando no Programa de Pós Graduação em Ciência da Computação (PPgCC), Universidade do Estado do Rio Grande do Norte (UERN) e Universidade Federal Rural doSemi-Árido - (UFERSA), Mossoró (RN), Brasil.

Published

2021-06-10

How to Cite

Douglas Ferreira Viana, J., Alvares de Carvalho César Sobrinho, Álvaro, & Chaves e Silva, L. (2021). Test Case Generation to Medical Cyber-Physical Systems: A Scoping Review. Journal of Health Informatics, 13(2). Retrieved from https://jhi.sbis.org.br/index.php/jhi-sbis/article/view/790

Issue

Section

Review

Similar Articles

<< < 9 10 11 12 13 14 

You may also start an advanced similarity search for this article.