Quality metrics and measurement in Software Engineering - Mini Project: Build & Apply

Quality Metrics and Measurement

📖 Scenario: You are part of a software development team that wants to track the quality of your software project. To do this, you will create a simple data structure to hold quality metrics, set a threshold for acceptable quality, analyze the metrics, and finalize the quality report.

🎯 Goal: Build a step-by-step quality metrics tracker that stores metric values, sets a quality threshold, identifies metrics below the threshold, and completes the quality report.

📋 What You'll Learn

Create a dictionary named quality_metrics with exact metric names and values

Create a variable named quality_threshold with a specific numeric value

Use a for loop with variables metric and value to find metrics below the threshold

Add a final summary dictionary named quality_report that includes the low quality metrics

💡 Why This Matters

🌍 Real World

Tracking software quality metrics helps teams identify weak areas and improve product reliability.

💼 Career

Quality measurement is essential for software testers, developers, and project managers to ensure high standards.

1

Create the quality metrics dictionary

Create a dictionary called quality_metrics with these exact entries: 'Code Coverage': 85, 'Bug Density': 3, 'Test Pass Rate': 92, 'Code Complexity': 7

Software Engineering

# Create the quality_metrics dictionary with the given metrics and values
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with the exact keys and values.

2

Set the quality threshold

Create a variable called quality_threshold and set it to the value 80 to represent the minimum acceptable metric value.

Software Engineering

quality_metrics = {'Code Coverage': 85, 'Bug Density': 3, 'Test Pass Rate': 92, 'Code Complexity': 7}
# Create the quality_threshold variable and set it to 80
# Your code here

Need a hint?

Just assign the number 80 to the variable quality_threshold.

3

Identify metrics below the threshold

Use a for loop with variables metric and value to iterate over quality_metrics.items(). Inside the loop, create a list called low_quality_metrics before the loop and add each metric to this list if its value is less than quality_threshold.

Software Engineering

quality_metrics = {'Code Coverage': 85, 'Bug Density': 3, 'Test Pass Rate': 92, 'Code Complexity': 7}
quality_threshold = 80
# Create an empty list low_quality_metrics
# Use a for loop with metric and value to find metrics below quality_threshold
# Your code here

Need a hint?

Start with an empty list, then check each metric's value and add the metric name if it is below the threshold.

4

Create the final quality report

Create a dictionary called quality_report with a key 'Low Quality Metrics' and set its value to the list low_quality_metrics.

Software Engineering

quality_metrics = {'Code Coverage': 85, 'Bug Density': 3, 'Test Pass Rate': 92, 'Code Complexity': 7}
quality_threshold = 80
low_quality_metrics = []
for metric, value in quality_metrics.items():
    if value < quality_threshold:
        low_quality_metrics.append(metric)
# Create the quality_report dictionary with 'Low Quality Metrics' key
# Your code here

Need a hint?

Use curly braces to create a dictionary with the specified key and assign the list as its value.