Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Typical Model Studies

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Self-Evaluation Maintenance Model

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...

Electro-mechanical Systems

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...

Response Surface Methodology

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:

Methods of Documentation VI: Case Management Model

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Data driven healthcare insurance system using machine learning and blockchain technologies.

PeerJ. Computer science·2025

Same author

RETRACTED: Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection.

PloS one·2025

Same author

Functional and Technical Aspects of Self-management mHealth Apps: Systematic App Search and Literature Review.

JMIR human factors·2022

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 12, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Report from MDE practice: An interview-based evaluation of model-driven engineering uses.

Hessa Alfraihi¹, Kevin Lano²

¹Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

|November 5, 2025

Summary

Model-Driven Engineering (MDE) offers benefits like improved robustness and speed but faces challenges in learning curves and adoption. Simplifying tools and increasing awareness can enhance its practical usability and encourage wider implementation.

More Related Videos

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

A Rapid Method for Modeling a Variable Cycle Engine

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

Related Experiment Videos

Last Updated: Jan 12, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

A Rapid Method for Modeling a Variable Cycle Engine

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

Area of Science:

Software Engineering
Human-Computer Interaction
Information Systems

Background:

Model-Driven Engineering (MDE) is a software development paradigm.
Its practical usability is crucial for widespread adoption in academia and industry.
Understanding practitioner perspectives is key to identifying MDE's strengths and weaknesses.

Purpose of the Study:

To investigate the usability of Model-Driven Engineering (MDE) from the perspective of software practitioners.
To identify the key benefits and challenges associated with MDE in real-world software development.
To gather recommendations for improving MDE usability and adoption.

Main Methods:

Conducted interviews with fifteen software practitioners.
Included participants from diverse roles (developers, researchers, architects) and domains.
Covered a range of expertise levels across academic and industrial software sectors.

Main Results:

Practitioners highlighted MDE benefits: enhanced project robustness, reliability, development speed, and system organization.
Identified challenges include a steep learning curve, technological constraints, organizational resistance, and a shortage of skilled professionals.
Key recommendations involve simplifying tools/language, improving consistency/flexibility, and enhancing integration.

Conclusions:

MDE presents significant advantages but requires addressing usability barriers for broader adoption.
Simplification, improved tool integration, and increased awareness are crucial for enhancing MDE's practical application.
The findings offer actionable insights for MDE tool developers and organizations seeking to implement MDE.