Risk monitoring and control in Software Engineering - Mini Project: Build & Apply

Risk Monitoring and Control

📖 Scenario: You are part of a software project team. You need to keep track of risks that might affect your project. Each risk has a description and a status showing if it is currently active or resolved.

🎯 Goal: Build a simple program to monitor risks by storing them, setting a threshold for active risks, filtering active risks, and displaying the active risks to help the team focus on important issues.

📋 What You'll Learn

Create a dictionary called risks with exact risk descriptions as keys and their status ('active' or 'resolved') as values.

Create a variable called active_threshold and set it to the number 2.

Use a dictionary comprehension to create a new dictionary called active_risks that contains only the risks with status 'active'.

Print the active_risks dictionary.

💡 Why This Matters

🌍 Real World

In real projects, teams track risks to avoid surprises. This simple program helps monitor which risks need attention.

💼 Career

Understanding how to organize and filter risk data is useful for project managers, DevOps engineers, and software team leads to keep projects on track.

1

Create the initial risk dictionary

Create a dictionary called risks with these exact entries: 'Server downtime': 'active', 'Data loss': 'resolved', 'Security breach': 'active', 'Budget overrun': 'resolved'.

Software Engineering

# Create the risks dictionary with exact entries
# Your code here

Need a hint?

Use curly braces to create a dictionary. Each entry has a risk description as a string key and its status as a string value.

2

Set the active risk threshold

Create a variable called active_threshold and set it to the number 2.

Software Engineering

risks = {
    'Server downtime': 'active',
    'Data loss': 'resolved',
    'Security breach': 'active',
    'Budget overrun': 'resolved'
}
# Set the active_threshold variable to 2
# Your code here

Need a hint?

Just assign the number 2 to the variable named active_threshold.

3

Filter active risks using dictionary comprehension

Use a dictionary comprehension to create a new dictionary called active_risks that contains only the risks from risks where the status is 'active'.

Software Engineering

risks = {
    'Server downtime': 'active',
    'Data loss': 'resolved',
    'Security breach': 'active',
    'Budget overrun': 'resolved'
}
active_threshold = 2
active_risks = {key: value for key, value in risks.items() if value == 'active'}  # Your code here

Need a hint?

Use {key: value for key, value in risks.items() if value == 'active'} to filter active risks.

4

Display the active risks

Write a print statement to display the active_risks dictionary.

Software Engineering

risks = {
    'Server downtime': 'active',
    'Data loss': 'resolved',
    'Security breach': 'active',
    'Budget overrun': 'resolved'
}
active_threshold = 2
active_risks = {key: value for key, value in risks.items() if value == 'active'}
print(active_risks)  # Your code here

Need a hint?

Use print(active_risks) to show the filtered risks.