Automated UML-based Formal Model of E-Health System

Khalid, Marrium; Afzaal, Hamra; Hassan, Shoaib; Zafar, Nazir Ahmad; Latif, Saba; Rehman, Aniqa

doi:10.1109/macs48846.2019.9024830

Cited by 6 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Formal analyses have been applied in some safety-critical telehealth systems such as in Ref. [18] in order to confirm robustness, accuracy and efficiency of the system modelled in Vienna Development Method Specification Language (VDM-SL). Work of Ref.…”

Section: Correctness and Safety Of Telehealth Systemsmentioning

confidence: 99%

Formal verification of a telerehabilitation system through an abstraction and refinement approach using Uppaal

Arfi

Courbis²,

Lambolais³

et al. 2023

IET Software

View full text Add to dashboard Cite

Formal methods are proven techniques that provide a rigorous mathematical basis to software development. In particular, they allow the quality of development to be effectively improved by making accurate and explicit modelling, so that anomalies like ambiguities and incompleteness are identified in the early phases of the software development process. Semi-formal UML models and formal Timed Automata models are used to design a telerehabilitation system through a practical approach based on abstraction and refinement. The formal verification of expected properties of the system is performed by the UPPAAL tool. The motivation of this work is threefold: (i) showing the usefulness of formal methods to satisfy the validation needs of a medical telerehabilitation system; (ii) demonstrating our approach of system analysis through refinements to guide the development of a complex system; and (iii) highlighting, from a real-life experience, the usefulness of models to involve the stakeholders all along the design of a system, from requirements to detailed specifications.

show abstract

Section: Correctness and Safety Of Telehealth Systemsmentioning

confidence: 99%

Formal verification of a telerehabilitation system through an abstraction and refinement approach using Uppaal

Arfi

Courbis²,

Lambolais³

et al. 2023

IET Software

View full text Add to dashboard Cite

show abstract

“…Khalid et al proposed an automated model for defining a system's behavior using non-deterministic automata (NFA) and a formal model based on discrete mathematical ideas created using the Vienna Development Method (VDM-SL) to verify the reliability, accuracy, and effectiveness of the E-health system while reducing maintenance and testing costs [8]. According to Komashine et al [9], no common diagrammatic language is used to create improved health service systems based on the academic literature.…”

Section: Introductionmentioning

confidence: 99%

A UML Activity Flow Graph-Based Regression Testing Approach

2023

View full text Add to dashboard Cite

Regression testing is a crucial process that ensures that changes made to a system do not affect existing functionalities. However, there is currently no adequate technique for selecting test cases that consider changes in Unified Modeling Language (UML) activity flow graphs. This paper proposes a novel approach to regression testing of UML diagrams, focusing on healthcare management systems. We provide a formal definition of sequence and activity diagrams and their relationship and construct corresponding activity flow graphs, which are used to develop a regression testing algorithm. The proposed algorithm categorizes test cases into reusable, retestable, obsolete, and newly generated categories by comparing old and new versions of UML activity flow graphs. The methodology is evaluated using a custom-designed hospital management system website as the test case, and the results demonstrate a significant reduction in time and resources required for regression testing. Our study provides valuable insights into the application of UML diagrams and activity flow graphs in regression testing, making it an important contribution to software testing research.

show abstract