The document discusses the significance of structured problem solving and coding standards in software development. It outlines a systematic approach to debugging, including steps such as defining and analyzing the problem, generating solutions, and evaluating results, while also emphasizing the importance of coding standards for consistency and maintainability. Overall, the application of these techniques enhances the quality of software and facilitates better teamwork.

1. STRUCTURED PROBLEM
SOLVING & CODING
STANDARDS
By: Kaiss AbouAbdallah

2. INTRODUCTION
- Importance of
structured problem
solving in debugging.
- Benefits of coding
standards in writing
maintainable code.

3. STRUCTURED TECHNIQUES
FOR PROBLEM SOLVING
• Definition:
• Structured problem solving involves a systematic
approach to identifying, analyzing, and resolving
issues.
• Steps:
1. Define the Problem: Clearly understand and
articulate the issue.
2. Analyze the Problem: Break down the problem
into smaller parts and understand the root cause.
3. Generate Solutions: Brainstorm possible solutions
and evaluate their feasibility.
4. Implement the Solution: Apply the chosen
solution to resolve the problem.
5. Evaluate the Results: Verify if the solution
effectively resolves the issue and adjust if
necessary.

4. APPLYING
STRUCTURED
TECHNIQUES TO
DEBUGGING
Generate
Generate Solutions:
• Ensure the formula uses correct mathematical
operations.
• Validate input values to the function.
Analyze
Analyze the Problem:
• Check if the formula for area calculation is
correct.
• Verify the values of radius and pi.
Define
Define the Problem:
• Identify that the function is returning incorrect
area values.

5. • Implement the Solution:
• Correct the formula or handle input
validation.
• Evaluate the Results:
• Test with various values of radius to ensure
correct area calculation.

6. CONSIDERING PROGRAM STRUCTURE
Importance:
A well-structured program is easier to debug and maintain.
Best Practices:
• Modularity: Break the program into smaller, reusable modules or functions.
• Readability: Write clear and understandable code with proper naming
conventions and comments.
• Error Handling: Implement error handling to manage unexpected inputs or
conditions.
Example:
Refactoring the calculate_area function to improve structure and readability.

7. CODING
STANDARDS
Definition:
• Coding standards are a set of guidelines for writing code in
a consistent manner.
Benefits:
• Consistency: Ensures uniform coding style across the team.
• Readability: Makes code easier to understand and
maintain.
• Collaboration: Facilitates teamwork and code reviews.
• Error Reduction: Reduces the likelihood of introducing
bugs.
Example:
• Following PEP 8 (Python Enhancement Proposal 8)
standards in Python.

8. REVIEW AND REFLECTION
• Summary:
• Structured problem solving involves a systematic approach to debugging.
• Coding standards promote consistency, readability, and maintainability in code.
• Applying these techniques improves the overall quality of software.
• Reflection Questions:
• How do structured techniques help in debugging?
• What are the benefits of coding standards?
• Answers:
• They provide a clear process to follow, making it easier to identify and fix issues
systematically.
• They ensure consistency, readability, and reduce the likelihood of errors.