Design Metrics and Analysis
Design metrics and analysis involve quantifying and evaluating various aspects of software design to gain insights into its quality, complexity, and performance. Here are some metrices and analysis:
|
Metric/Analysis |
Description |
|---|---|
|
Cyclomatic Complexity |
Measures the complexity of a program by counting the number of linearly independent paths through the source code. |
|
Coupling Metrics |
Evaluates the degree of interdependence between software modules, indicating the level of coupling between components. |
|
Cohesion Metrics |
Assesses the strength of relationships within a module or class, indicating how closely the elements within the module are related to each other. |
|
Size Metrics |
Measures the size of software components, such as lines of code, number of classes, or file size, providing insights into system complexity. |
|
Performance Metrics |
Analyzes runtime performance, memory usage, response times, and other relevant metrics to identify bottlenecks and areas for optimization. |
|
Design Analysis |
Examines the collected metrics to gain insights into the design’s strengths, weaknesses, and areas for improvement, informing optimization efforts. |
Design Optimization in OOAD
Object-Oriented Analysis and Design (OOAD) is a crucial phase in software development where the system requirements are analyzed and translated into a well-designed object-oriented model. Design optimization in OOAD focuses on improving the quality, performance, maintainability, and scalability of the system design.
Important Topics for Design Optimization in OOAD
- What is Design Optimization?
- Goals of Design Optimization
- Principles of Design Optimization
- Techniques for Design Optimization
- Design Metrics and Analysis
- Common Design Smells and Anti-Patterns
- Best Practices for Design Optimization
- Challenges for Design Optimization
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