In the structured problem-solving process for programming, what is the first step before any coding begins?

Introduction / Context:
Structured problem solving encourages clarity before construction. Rushing into coding without understanding the problem leads to rework and defects. The first step is always to analyze the problem, define what success looks like, and clarify inputs, outputs, and constraints.

Given Data / Assumptions:

• The task requires transforming inputs into outputs under constraints.
• Stakeholders can clarify acceptance criteria.
• Subsequent steps include algorithm design, desk checking, and implementation.

Concept / Approach:
Analysis captures the problem domain: what is required, why it matters, and how correctness will be judged. Only after analysis does it make sense to plan algorithms, prototype, or write code. This reduces churn and aligns solutions with real needs.

Step-by-Step Solution:
1) Analyze: define objectives, inputs, outputs, edge cases, and constraints. 2) Plan: design an algorithm or approach that satisfies the analysis. 3) Verify on paper: desk-check step by step with sample data. 4) Implement and then evaluate for improvements.

Verification / Alternative check:
Textbooks and software engineering standards put requirements analysis and problem understanding before algorithm design and coding.

Why Other Options Are Wrong:
Option A: Planning algorithms is second after analysis.
Option C: Desk-checking follows algorithm design.
Option D: Evaluation occurs after execution.
Option E: Coding first is a common but risky anti-pattern.

Common Pitfalls:
Skipping analysis leads to solving the wrong problem or missing edge cases that later cause failures.

Final Answer:
Analyze the problem to understand goals, inputs, and constraints