ISSUE#2.2 - LEO - ISSUE DEVELOPMENT

[ba-00001]

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Algorithm Development Template

ISSUE#: [Issue Number]
Title: [Issue Title]
Prepared by: [Developer Name]
Date: [MM/DD/YYYY]

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1. Problem Definition and Clarification

• Objective: Clearly state the problem that the algorithm needs to solve.
• Key Questions:
  • What is the problem to be solved?
  • What are the expected outcomes?
• Sub-tasks: Break down the issue into smaller tasks.

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2. Input/Output Specifications

• Input Data:
  • Define the required input data types, format, and constraints.
• Expected Output:
  • Specify what the algorithm should return or produce after execution.

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3. Constraints and Requirements

• Time Complexity: What is the acceptable time complexity for the solution?
• Space Complexity: Define memory usage constraints.
• Resource Constraints:
  • CPU, memory, and other hardware limitations.
• Ethical Considerations (if applicable):
  • How will the algorithm ensure fairness, privacy, or comply with legal requirements?

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4. Data Structures

• Chosen Data Structures: List the data structures (arrays, trees, hash maps, etc.) that are ideal for solving the problem and why.
• Justification: Explain why these data structures will improve efficiency.

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5. Algorithm Design Approach

• Design Paradigm:
  • Choose one or more design paradigms (e.g., Greedy, Divide and Conquer, Dynamic Programming, etc.).
  • Explain why the paradigm is suitable for this problem.
• Modular Design:
  • Break down the algorithm into reusable functions or components for clarity and maintainability.

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6. Edge Cases and Error Handling

• Edge Cases:
  • Identify possible edge cases (e.g., null values, empty inputs, extreme data).
• Error Handling:
  • Include strategies to handle invalid input or unexpected behavior.

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7. Optimization

• Initial Version: Describe the basic working version of the algorithm.
• Optimization Techniques: List any steps taken to optimize the algorithm for better performance (e.g., memoization, pruning, parallelization).

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8. Testing and Debugging

• Test Cases:
  • Typical input cases.
  • Boundary cases.
  • Edge cases.
• Debugging Tools: Specify the tools or strategies used for debugging.

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9. Documentation and Maintenance

• Documentation:
  • Provide clear explanations of the algorithm, its functions, and how to use it.
• Maintenance Plan:
  • Outline plans for future updates, bug fixes, and ongoing improvements.

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Comments/Notes

[Additional notes or comments regarding the issue development.]

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Version History

Date	Changes Made	Version
MM/DD/YYYY	Initial Draft	1.0
MM/DD/YYYY	[Describe subsequent changes]	X.X

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