Understanding and Creating Test Cases in Software Testing

The page explains that test cases validate an application’s functionality, quality, and reliability. It lists the main parts of a test case, shows examples for login scenarios, and connects test design with coverage, edge cases, and deployment confidence.

It also describes functional, non-functional, regression, negative, boundary, smoke, and integration test cases. The page covers statement, branch, and condition coverage, names several coverage tools, and says generative AI and tools like Keploy can help identify edge cases and generate realistic scenarios.

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• Test cases are described as actions, conditions, and inputs used to verify a software feature or function.
• A well-written test case includes an ID, description, prerequisites, steps, test data, expected result, and actual result.
• The login examples show passing and failing cases, including empty fields, expired sessions, and SQL injection.
• Functional test cases check whether the software follows specified requirements and business logic.
• Non-functional test cases cover performance, usability, security, and reliability.
• Regression test cases check whether recent changes affected existing functionality.
• Negative test cases check how the system behaves with invalid or unexpected inputs.
• Boundary test cases focus on edge limits, such as a field with a maximum character count.
• Smoke test cases verify basic critical functionality after deployment or code changes.
• Integration test cases check whether modules or services work together, such as payment and order systems.
• Test coverage is presented as the share of code executed by test cases.
• Statement coverage checks whether each line of code runs at least once.
• Branch coverage checks both true and false outcomes of logical branches.
• Condition coverage checks each condition inside a decision statement.
• The page lists JaCoCo, Clover, Coverage.py, Istanbul, and Cobertura as coverage tools.
• Generative AI can use code bases, existing test cases, and failure logs to predict edge cases and generate scenarios.
• Keploy is described as a tool that records real-time user traffic and generates test cases and mocks from schema or PRD information.
• The page cites industry metrics saying inadequate testing can raise defect rates and post-release fixing costs.