Concretization Concept Analysis Diagram

Core Concept:

  • Concretization: The process of making something concrete, tangible, or specific rather than abstract or theoretical. In computing and problem-solving, it involves translating abstract ideas into concrete implementations.


  1. Specificity: Focusing on detailed, concrete examples.
  2. Realization: Physical or practical embodiment of an idea.
  3. Tangibility: Making theoretical or abstract concepts touchable or visible.
  4. Implementation: Executing a plan or design in a real-world environment.


  1. Abstract Ideas: Existence of ideas or concepts that are not yet materialized.
  2. Need for Application: Requirement to apply theoretical knowledge in a real-world context.
  3. Resource Availability: Necessary tools, skills, and materials must be accessible.


  1. Negative: Too much focus on details can lose sight of broader aims or principles.
  2. Positive: Enables practical application, validation, and testing of theories or ideas.

Interrelated Concepts:

  1. Abstraction: The opposite process of generalizing from concrete instances.
  2. Problem-Solving: Requires both abstract thinking and concrete implementation.
  3. Project Management: Balances abstract planning with concrete execution.


  1. Code Implementation: Concretizing algorithms into runnable code.
  2. Prototyping: Building a physical model to test an abstract design.
  3. Case Studies: Detailed real-world examples that provide concrete insights.

Critical Components:

  1. Translation Skill: Ability to translate abstract concepts to concrete instances.
  2. Practical Knowledge: Understanding the tools, languages, or materials required.
  3. Context Awareness: Recognizing the constraints and opportunities in the given environment.


Concretization is the process of taking abstract ideas and translating them into specific, actionable tasks or steps. In software engineering, this often means taking high-level requirements or ideas and breaking them down into code, algorithms, or features that can be implemented.


Use concretization when you have a general concept or problem statement and need to transition into actionable tasks. This often occurs during planning stages, when translating business requirements into technical specifications, or when tackling a coding problem that is initially vaguely defined.


Concretization occurs in various aspects of software development:

  • Requirement gathering sessions
  • Technical design meetings
  • Planning poker in Agile methodology
  • Individual problem-solving, like converting a task into code

How to Apply

  1. Identify the Abstract Idea: Understand the high-level concept or problem you’re facing.
  2. Break It Down: Divide the abstract idea into smaller, manageable parts.
  3. Define Actions: For each part, identify specific actions or code implementations.
  4. Prioritize: Determine the order of implementation based on dependencies or importance.
  5. Implement: Write code or execute tasks based on the concretized steps.


Before Concretization
Idea: “We need a system to manage customer records.”

After Concretization

  • Create a database schema for customer information
  • Write CRUD (Create, Read, Update, Delete) operations for customer data
  • Develop a UI for customer data management
  • Implement search functionality for customer records


    Abstract Idea
|                    |
V                    V
Sub-Idea 1        Sub-Idea 2
  |                  |
  V                  V
Action 1          Action 2

In this diagram, the “Abstract Idea” is broken down into “Sub-Idea 1” and “Sub-Idea 2,” which are further concretized into “Action 1” and “Action 2.”

Concretization serves as a bridge between theory and practice, making it possible to apply abstract concepts to real-world problems. It complements abstraction, offering a more complete understanding of complex issues by examining them from both generalized and detailed perspectives.

Here is an example using the concept analysis template for Concretization:

Concept: Concretization


  • Transforming abstract ideas into tangible instances
  • Embedding abstract rules/knowledge into concrete examples
  • Grounding theoretical concepts through application
  • Making conceptual models practical and usable


  • Starting with abstract theories, models or frameworks
  • Needing to apply abstract knowledge to real situations
  • Seeking practical utility from conceptual models
  • Possessing examples to ground models into


  • Improved comprehension and retention of abstract concepts
  • Ability to test and refine theories through application
  • Potential misapplication or oversimplification of models
  • Constraints and limitations of implementation details

Interrelated Concepts:

  • Instantiation
  • Reification
  • Operationalization
  • Contextualization


  • Prototyping
  • Simulation
  • Case-based reasoning
  • Design thinking

Reasoning Usage:

  • Constructing concrete use cases from conceptual models
  • Building simulations to embody complex dynamic models
  • Using past legal cases to ground application of laws
  • Developing physical prototypes to refine engineering designs

This demonstrates using the template to represent key knowledge about the concept of concretization and its application in reasoning and design.