model-driven

USAGE SUMMARY

The phrase "model-driven" is correct and usable in written English.
It is typically used in contexts related to software development, data analysis, or design methodologies that emphasize the use of models to guide processes or decisions. Example: "The new software architecture is model-driven, allowing for greater flexibility and adaptability in development."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

45 human-written examples

One of the main challenges to achieve the industrial adoption of Model-Driven Engineering (MDE) paradigm is building tools able to support model-driven software processes.

Journal of Systems and Software

Model-Driven Architecture (MDA) is the approach for software development under the Model-Driven Engineering framework.

Computer Physics Communications

In terms of scientific research, this observation explains the development of model-driven engineering of computer systems such as the Model Driven Architecture (MDA) approach.

Telematics and Informatics

Second, there is a form of model-driven selling by formerly stable investors in response to higher volatility.

The New York Times

The "A model-driven approach" section illustrates the underlying model-driven approach.

Research and Practice in Technology Enhanced Learning

Model-driven development is becoming a reality.

Science of Computer Programming

Human-verified similar examples from authoritative sources

Similar Expressions

15 human-written examples

Therefore, recent research is investigating model driven simulation modeling.

Visualization in Engineering

This method uses an MDA (model driven architecture) approach.

EURASIP Journal on Embedded Systems

His research interests include static analysis, model driven development and exception handling.

Journal of Software Engineering Research and Development

Model driven approaches [18]-[24] [18]-[24] proposed to address limitations of statistical learning based methave.

Security Informatics

It is now up to the experimentalists to verify the validity of our model driven hypothesis generation approach.

Plosone

Expert writing Tips

Best practice

When using "model-driven", ensure the type of model is clear to the audience. For example, specify whether it's a data model, process model, or architectural model to avoid ambiguity.

Common error

Avoid using "model-driven" as a generic term. Instead of saying "Our approach is model-driven", specify what aspects of your process are guided by models to give a more precise description.

Linguistic Context

The phrase "model-driven" primarily functions as a modifier, specifically an adjective. It describes something that is guided, influenced, or controlled by a model. As evidenced by Ludwig AI, this often appears in technical contexts related to software engineering, design, and data analysis.

Expression frequency: Uncommon

Frequent in

Science

75%

News & Media

15%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "model-driven" is a grammatically sound and relatively common adjective phrase used to describe processes or systems that are guided by a model. It is most frequently encountered in scientific and technical contexts, particularly within software engineering and data analysis. As Ludwig AI pointed out, clear definition of the model is important when using this phrase, and avoid overgeneralization. Related terms such as "data-driven" and "architecture-centric" offer alternative ways to express similar concepts. While grammatically correct, specificity will add clarity.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data-driven

Focuses on using data as the primary driver, shifting emphasis from models to empirical information.

architecture-centric

Highlights the architecture as the central organizing principle rather than a general model.

rule-based

Emphasizes the use of explicit rules instead of relying on a broader model.

pattern-oriented

Focuses on recognizing and applying recurring patterns instead of comprehensive models.

simulation-based

Emphasizes simulations rather than broader modeling approaches.

design-led

Highlights the importance of design in guiding the process.

concept-based

Centers around core concepts as the driving force.

algorithm-driven

Specifies algorithms as the primary drivers, narrowing the scope compared to models.

system-oriented

Highlights a focus on the overall system instead of individual models.

framework-based

Emphasizes the use of a pre-defined framework to guide actions.

FAQs

How can I use "model-driven" in a sentence?

You can use "model-driven" to describe processes or systems that are primarily guided by models. For example: "The software development process is "model-driven", ensuring consistency between design and implementation".

What does "model-driven" mean in software development?

In software development, "model-driven" typically refers to an approach where models are used to generate code, configurations, and other artifacts, automating significant portions of the development process. This contrasts with traditional coding-centric approaches.

What's the difference between "model-driven" and "data-driven"?

"Model-driven" emphasizes the use of models to guide processes or development, while "data-driven" emphasizes the use of data to inform decisions or actions. A model might incorporate data, but the focus is on the model itself.

Which is more effective, "model-driven" or "code-centric" development?

The effectiveness of "model-driven" versus "code-centric" development depends on the project. "Model-driven" development can improve maintainability and reduce development time for complex systems, while "code-centric" development offers more flexibility for rapid prototyping and smaller projects.