Short answer

When developing smart health applications, prioritize software quality models that emphasize usability, maintainability, and reliability, with McCall's model being a strong candidate.

Field: User-Centred Design
Source: Bulletin of Electrical Engineering and Informatics (2023)
Method: Framework development and application, Multi-Criteria Decision Making (MCDM), Fuzzy Delphi, TOPSIS, FAHP
Evidence: Strong effect

A structured multi-criteria decision-making framework, incorporating fuzzy Delphi and TOPSIS/FAHP, identifies McCall's model as the most suitable for evaluating smart health application software quality. This user-centred design research insight is drawn from a 2023 study published in Bulletin of Electrical Engineering and Informatics. Using Framework development and application, multi-criteria decision making (mcdm), fuzzy delphi, topsis, fahp, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When developing smart health applications, prioritize software quality models that emphasize usability, maintainability, and reliability, with McCall's model being a strong candidate.

Study

User-Centred DesignRecentStrong effect

McCall's Model Emerges as Optimal for Smart Health App Quality

Bulletin of Electrical Engineering and Informatics · 2023

Key Findings

01Usability, maintainability, reliability, interoperability, portability, modifiability, and efficiency were identified as key software quality factors.
02McCall's model was determined to be the most appropriate software quality model for smart health applications based on the applied framework.

Application

Design takeaway

When developing smart health applications, prioritize software quality models that emphasize usability, maintainability, and reliability, with McCall's model being a strong candidate.

How to apply

Use a structured multi-criteria decision-making process, informed by expert consensus (like fuzzy Delphi), to select the most appropriate software quality model for your specific project, especially in user-sensitive domains.

Project actions

01When choosing a design framework or methodology for your project, clearly define the criteria you will use for selection.
02Consider using expert opinion or user feedback to inform your criteria and their weighting.

Method & Evidence

AimTo develop and apply a framework for selecting the most appropriate software quality model for smart health applications using a multi-criteria decision-making approach.

MethodFramework development and application, Multi-Criteria Decision Making (MCDM), Fuzzy Delphi, TOPSIS, FAHP

ProcedureThe study involved three phases: 1) Identifying key software quality factors using the fuzzy Delphi method. 2) Establishing a decision matrix with uniform multi-criteria based on these factors and existing quality models. 3) Evaluating and selecting the best model using TOPSIS and Fuzzy Analytical Hierarchy Process (FAHP).

ContextSmart health application development

Variables

IVSoftware quality models, Multi-criteria decision-making techniques (TOPSIS, FAHP)

DVSelection of the most appropriate software quality model

CVContext of smart health applications, Identified key quality factors (usability, maintainability, etc.)

Strengths & Limitations

Strengths

+Provides a structured and systematic approach to a complex decision.
+Incorporates expert opinion through fuzzy Delphi for robust factor identification.

Limitations

The number of quality models considered and the specific criteria chosen can influence the outcome. The subjective nature of expert opinions in fuzzy Delphi needs to be acknowledged.

Reliability & validity

The reliability of the fuzzy Delphi method depends on the consensus among experts. The validity of the selection is supported by the rigorous application of MCDM techniques, but is context-specific to smart health applications.

Think critically

How might the identified key quality factors differ for applications in other domains, such as industrial control systems or entertainment software?

Design Principles

"Prioritize user-centric quality attributes in software development for critical applications."

Selecting the right software quality model is crucial for developing reliable and effective smart health applications. This research provides a data-driven approach to this selection, ensuring that critical user-centric factors like usability and reliability are prioritized, ultimately leading to better patient outcomes and user experiences.

What This Means for Your Design

This study found a way to pick the best quality checklist for smart health apps by asking experts and using math. McCall's model was the winner because it covers important things like how easy it is to use and how well it works.

How to use in your project

1.Reference this study when justifying the selection of a specific design methodology or quality assurance framework for your design project, especially if it involves user-facing technology.

Add to My Project

Quick Cite

Paragraph starter

The selection of an appropriate software quality model is critical for the success of user-focused applications. Research by Mousa Saleh and Enaizan (2023) highlights the effectiveness of a multi-criteria decision-making framework, utilizing fuzzy Delphi and TOPSIS/FAHP, in identifying McCall's model as optimal for smart health applications due to its emphasis on key factors like usability and reliability. This approach provides a robust methodology for selecting quality models that align with user-centric design principles.

Source

Bulletin of Electrical Engineering and Informatics

Framework for selecting the best software quality model for a smart health application based on intelligent approach

journal · 2023

View source

Questions About This Research

What does the research say about mccall's model emerges as optimal for smart health app quality?: When developing smart health applications, prioritize software quality models that emphasize usability, maintainability, and reliability, with McCall's model being a strong candidate. Evidence: Bulletin of Electrical Engineering and Informatics (2023).
Why does "McCall's Model Emerges as Optimal for Smart Health App Quality" matter for design?: Selecting the right software quality model is crucial for developing reliable and effective smart health applications. This research provides a data-driven approach to this selection, ensuring that critical user-centric factors like usability and reliability are prioritized, ultimately leading to better patient outcomes and user experiences.
How can designers apply this research?: When developing smart health applications, prioritize software quality models that emphasize usability, maintainability, and reliability, with McCall's model being a strong candidate.
What were the main findings?: Usability, maintainability, reliability, interoperability, portability, modifiability, and efficiency were identified as key software quality factors.. McCall's model was determined to be the most appropriate software quality model for smart health applications based on the applied framework.
What research method was used?: Framework development and application, Multi-Criteria Decision Making (MCDM), Fuzzy Delphi, TOPSIS, FAHP.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2023 journal from Bulletin of Electrical Engineering and Informatics.
What should I do differently in my next project?: Use a structured multi-criteria decision-making process, informed by expert consensus (like fuzzy Delphi), to select the most appropriate software quality model for your specific project, especially in user-sensitive domains.
What are the limitations?: The study's findings are specific to the context of smart health applications and may not be directly generalizable to all software development domains. The selection of MCDM techniques and fuzzy logic introduces inherent subjectivity.