Testting. Testting plan. Types of test data.
A Test Plan is a detailed document that describes the test strategy, objectives, estimation, results, and resources required to perform testing for a software product.
A test Plan helps us determine the effort needed to validate the quality of the application under test. The test plan serves as a blueprint to conduct software testing activities as a defined process.
Template a test plan for project work
| # | Purpose | Description | Type of validation | Test data | Expected result | Actual result |
|---|---|---|---|---|---|---|
Test execution is a complex process that contains numerous stages. It is important to test algorithms to check how they perform under a range of conditions. This includes testing any validation you have created to ensure it performs as expected.
Data creation is one of the key activities for test environment preparation. Each type of software testing requires different data, equally proper and sufficient.
When creating a testing plan, the test data that you use shouldn’t be random values, but rather values that fulfill the following test criteria.
- Normal data. Normal data is test data that is typical (expected) and should be accepted by the system.
- Extreme data. Extreme data is test data at the upper or lower limits of expectations that should be accepted by the system.
- Erroneous data. Erroneous data is test data that falls outside of what is acceptable and should be rejected by the system.
Last modified: Thursday, 18 April 2024, 1:33 PM