Common software project risks in Software Engineering - Mini Project: Build & Apply

Common Software Project Risks

📖 Scenario: You are part of a software development team planning a new project. To prepare well, you want to list common risks that can affect software projects. This will help your team avoid problems and deliver the project successfully.

🎯 Goal: Create a simple list of common software project risks, add a severity level for each risk, and then select only the high severity risks to focus on. Finally, prepare a summary list of these high severity risks.

📋 What You'll Learn

Create a list called risks with these exact entries: 'Scope creep', 'Unclear requirements', 'Technical challenges', 'Resource availability', 'Poor communication'

Create a dictionary called severity that assigns these exact severity levels: 'Scope creep': 'High', 'Unclear requirements': 'High', 'Technical challenges': 'Medium', 'Resource availability': 'Medium', 'Poor communication': 'High'

Use a list comprehension to create a list called high_risks that includes only risks with severity 'High'

Create a final string called summary that joins the high_risks list items separated by commas

💡 Why This Matters

🌍 Real World

Software teams use risk lists to plan better and avoid common problems that can delay or harm projects.

💼 Career

Understanding and managing risks is a key skill for project managers, developers, and quality assurance professionals.

1

Create the list of common software project risks

Create a list called risks with these exact entries: 'Scope creep', 'Unclear requirements', 'Technical challenges', 'Resource availability', 'Poor communication'

Software Engineering

# Create the list of risks
# Your code here

Need a hint?

Use square brackets [] to create a list and separate each risk with commas.

2

Assign severity levels to each risk

Create a dictionary called severity that assigns these exact severity levels: 'Scope creep': 'High', 'Unclear requirements': 'High', 'Technical challenges': 'Medium', 'Resource availability': 'Medium', 'Poor communication': 'High'

Software Engineering

risks = ['Scope creep', 'Unclear requirements', 'Technical challenges', 'Resource availability', 'Poor communication']
# Create the severity dictionary
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with key-value pairs separated by colons.

3

Select only high severity risks

Use a list comprehension to create a list called high_risks that includes only risks from risks where the severity in severity is exactly 'High'

Software Engineering

risks = ['Scope creep', 'Unclear requirements', 'Technical challenges', 'Resource availability', 'Poor communication']
severity = {'Scope creep': 'High', 'Unclear requirements': 'High', 'Technical challenges': 'Medium', 'Resource availability': 'Medium', 'Poor communication': 'High'}
# Create the list of high severity risks
# Your code here

Need a hint?

Use a list comprehension with an if condition to filter risks.

4

Create a summary string of high severity risks

Create a string called summary that joins the items in high_risks separated by commas using the join() method

Software Engineering

risks = ['Scope creep', 'Unclear requirements', 'Technical challenges', 'Resource availability', 'Poor communication']
severity = {'Scope creep': 'High', 'Unclear requirements': 'High', 'Technical challenges': 'Medium', 'Resource availability': 'Medium', 'Poor communication': 'High'}
high_risks = [risk for risk in risks if severity[risk] == 'High']
# Create the summary string
# Your code here

Need a hint?

Use ', '.join(list) to combine list items into a single string separated by commas.