Code coverage metrics in Software Engineering - Mini Project: Build & Apply

Understanding Code Coverage Metrics

📖 Scenario: You are part of a software development team. Your team wants to improve the quality of the code by measuring how much of the code is tested by automated tests. This measurement is called code coverage. You will learn about the basic types of code coverage metrics and how to identify them.

🎯 Goal: Build a simple list of common code coverage metrics with their descriptions. This will help you understand what each metric means and how it relates to testing your code.

📋 What You'll Learn

Create a dictionary named coverage_metrics with exact keys and descriptions

Add a variable named minimum_coverage to set a coverage threshold

Use a loop to select metrics with descriptions longer than 50 characters

Add a final summary string explaining the importance of code coverage

💡 Why This Matters

🌍 Real World

Software teams use code coverage metrics to understand how well their tests cover the codebase, helping to find untested parts and improve software quality.

💼 Career

Knowing code coverage metrics is important for software developers, testers, and quality assurance engineers to ensure reliable and maintainable code.

1

Create the code coverage metrics dictionary

Create a dictionary called coverage_metrics with these exact entries: 'Line Coverage' with value 'Measures the percentage of lines executed by tests.', 'Branch Coverage' with value 'Measures the percentage of branches (if-else) executed.', 'Function Coverage' with value 'Measures the percentage of functions called during testing.', and 'Statement Coverage' with value 'Measures the percentage of executable statements run.'.

Software Engineering

# Create the coverage_metrics dictionary with exact keys and values
# Your code here

Hint

Use curly braces {} to create a dictionary. Each key is a string with its description as the value.

2

Set the minimum coverage threshold

Create a variable called minimum_coverage and set it to the integer 80. This represents the minimum acceptable coverage percentage for your tests.

Software Engineering

coverage_metrics = {
    'Line Coverage': 'Measures the percentage of lines executed by tests.',
    'Branch Coverage': 'Measures the percentage of branches (if-else) executed.',
    'Function Coverage': 'Measures the percentage of functions called during testing.',
    'Statement Coverage': 'Measures the percentage of executable statements run.'
}
# Set the minimum_coverage variable to 80
# Your code here

Hint

Just assign the number 80 to the variable minimum_coverage.

3

Select metrics with long descriptions

Create a list called long_description_metrics that contains the keys from coverage_metrics whose descriptions have more than 50 characters. Use a for loop with variables metric and description to iterate over coverage_metrics.items().

Software Engineering

coverage_metrics = {
    'Line Coverage': 'Measures the percentage of lines executed by tests.',
    'Branch Coverage': 'Measures the percentage of branches (if-else) executed.',
    'Function Coverage': 'Measures the percentage of functions called during testing.',
    'Statement Coverage': 'Measures the percentage of executable statements run.'
}
minimum_coverage = 80
long_description_metrics = []
for metric, description in coverage_metrics.items():
    # Your code here

Hint

Use len(description) > 50 inside the loop to check description length.

4

Add a summary about code coverage importance

Create a string variable called coverage_summary with the exact text: 'Code coverage helps ensure tests check important parts of the code.'

Software Engineering

coverage_metrics = {
    'Line Coverage': 'Measures the percentage of lines executed by tests.',
    'Branch Coverage': 'Measures the percentage of branches (if-else) executed.',
    'Function Coverage': 'Measures the percentage of functions called during testing.',
    'Statement Coverage': 'Measures the percentage of executable statements run.'
}
minimum_coverage = 80
long_description_metrics = []
for metric, description in coverage_metrics.items():
    if len(description) > 50:
        long_description_metrics.append(metric)
coverage_summary = ""
# Your code here

Hint

Assign the exact sentence as a string to coverage_summary.