In software testing practice, what does Positive Testing specifically verify about a new program or module under normal, valid inputs?

Introduction / Context:
Positive testing is a core QA activity that confirms software behaves correctly when provided with expected, valid inputs. It complements negative testing (invalid inputs) and boundary testing.

Given Data / Assumptions:

• The program has specified requirements and valid transaction scenarios.
• Testers want to verify compliance with those specifications.
• The question asks for the definition of Positive Testing.

Concept / Approach:
Positive testing verifies that the system accepts valid data and produces correct results. It follows the user stories or use cases and uses test cases derived from acceptance criteria.

Step-by-Step Solution:

Verification / Alternative check:
Traceability from requirements to test cases ensures positive tests directly validate specified behavior and acceptance criteria.

Why Other Options Are Wrong:

• Running with live data (option A) is acceptance testing, not the definition of positive testing.
• Checking program logic (option C) is white-box review or unit logic verification, not specifically positive testing.
• Testing changes (option D) describes regression or re-test of fixes.

Common Pitfalls:
Confusing positive testing with happy-path only; true positive coverage should include all specified valid variations, not just a single path.

Final Answer:
making sure that the new programs do in fact process certain transactions according to Specifications