Size-oriented aur function-oriented metrics software engineering mein measurement techniques hote hain jo software development process ke performance aur quality ko evaluate karne mein madad karte hain.
Size oriented and function oriented metrics in hindi
Yahan, main aapko dono metrics ke examples ke saath provide karunga:
Size oriented metrics in hindi
- Size-Oriented Metrics:
a. Lines of Code (LOC): LOC metric measures the size of a software system by counting the number of lines of code written. It provides an estimate of the complexity and effort required to develop and maintain the software.
b. Function Points (FP): Function points are a standardized measure of the functionality provided by a software system. It considers factors like inputs, outputs, queries, files, and user interfaces. Function points help estimate the size of a software project and evaluate productivity.
Function oriented metrics in hindi
- Function-Oriented Metrics:
a. Cyclomatic Complexity: Cyclomatic complexity is a quantitative measure of the complexity of a software system. It calculates the number of independent paths through a program’s source code. Higher cyclomatic complexity indicates a higher number of decision points and potential for errors.
b. Halstead Complexity Measures: Halstead metrics, such as program length (N), vocabulary (n), volume (V), difficulty (D), and effort (E), measure the complexity of a program based on the number of operators and operands used. These metrics provide insights into the effort required to understand and maintain the code.
These are just a few examples of size-oriented and function-oriented metrics used in software engineering. There are many more metrics available that can be used to measure various aspects of software quality, complexity, maintainability, and performance.