What is testdata in manual testing?

 Yes, Quality Thought is actually quite popular in India for software testing training — especially in manual testing, automation testing, and tools like Selenium, Jira, TestNG, UFT, LoadRunner, etc.

✅ Here's why people consider Quality Thought a good choice:

1. Experienced Trainers – Often industry experts with real-time project exposure.

2. Tool-Focused Learning – Covers a wide range of tools with hands-on practice.

3. Live Projects – Gives students exposure to real scenarios and bug tracking.

4. Placement Support – They usually have tie-ups with companies for fresher hiring.

5. Flexible Modes – Both classroom and online options are available.

📘 Test Data – Theoretical Definition (Manual Testing)

Test data refers to the set of data that is used during the execution of test cases in manual testing. It is created to validate the functionality, performance, and reliability of an application by providing various inputs and observing the system’s response.

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🔹 Purpose of Test Data:

• To simulate real-world user input

• To verify if the software behaves as expected

• To ensure all test scenarios are properly covered

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🔹 Characteristics of Good Test Data:

• Relevant to the test scenario

• Covers all possible input types (valid, invalid, edge cases)

• Well-documented and organized

• Repeatable and maintainable for regression testing

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🔹 Types of Test Data:

1. Valid Test Data – Correct data that should be accepted by the system

2. Invalid Test Data – Data that should be rejected by the system

3. Boundary Test Data – Data at the edge of acceptable ranges

4. Null/Empty Test Data – Used to test how the system handles missing or blank input

5. Negative Test Data – Intentional incorrect data to check validation handling

6. Large Volume Test Data – Used for performance or stress testing