Safety-driven software design and engineering in medical cyber-physical-human systems

Ou, Yi-Zong

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https://hdl.handle.net/2142/105794 Copy

Description

Title

Safety-driven software design and engineering in medical cyber-physical-human systems

Author(s)

Ou, Yi-Zong

Issue Date

2019-07-09

Director of Research (if dissertation) or Advisor (if thesis)

Sha, Lui

Doctoral Committee Chair(s)

Sha, Lui

Committee Member(s)

• Caccamo, Marco
• Gunter, Carl A.
• Ren, Shangping

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Date of Ingest

2019-11-26T20:49:22Z

Keyword(s)

Medical Cyber-Physical-Human System (CPHS), Open-Loop Safe Systems, Safety-driven Requirement and Software Traceability, System and Human Behavior Modeling

Abstract

This dissertation addresses the questions of how to ensure safety in medical Cyber-Physical-Human System (CPHS) development from various perspectives including (1) System Design for Networked Medical CPHS, (2) Safety-driven Requirement and Software Traceability, and (3) System and Human Behavior Modeling. For (1) System Design for Networked Medical CPHS, we present two works including failsafe system design for networked medical systems and a communication middleware that provides protected communication. First, we present a system design framework to handle medical device interoperation hazards for networked systems. The hazards include temporal safety hazards, device interoperation hazards, and potential network failures when performing medical tasks. Second, we present a communication middleware that utilizes existing medical knowledge to provide safe communication among system components and prevent accidental or malicious modifications of the exchanged information. Moreover, the communication middleware unifies the communication mechanisms among Statechart models, software, and medical devices. For (2) Safety-driven Requirement and Software Traceability, we present two works. The first work is a safety-driven requirement traceability framework to trace safety requirements, system design, and safety analysis. The safety-driven requirement traceability framework provides mechanisms and algorithms that ensure the safety analysis is always up-to-date when a requirement or a system design model changes. As such, the safety analysis can provide the proof of system safety while the system is evolving. In the second work, we design a requirement traceability framework for distributed systems based on information fow. The requirement traceability framework traces the exchanged information across software artifacts written in different forms such as Statechart or object-oriented programming languages. The framework also manages changes in the exchanged information and provides the impact analysis algorithms to detect impacted system components and requirements in the systems. For (3) System and Human Behavior Modeling, we developed a set of common preventable medical errors severed to guide the design, model, and verification of a medical CPHS.

Graduation Semester

2019-08

Type of Resource

text

Permalink

http://hdl.handle.net/2142/105794

Copyright and License Information

Copyright 2019 Yi-Zong Ou

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