In this tutorial, we will learn about Orthogonal Array Testing (OAT), a systematic, statistical way of testing that can be used to reduce the number of test cases while still ensuring maximum coverage.
By the end of this tutorial, you will understand how OAT works, how to implement it in your HTML development process, and how to create and interpret the results from your orthogonal arrays.
This tutorial assumes that you have a basic understanding of HTML and web development. No prior knowledge of OAT is required.
Orthogonal Array Testing is a black box testing technique that systematically selects a set of test cases from a large pool to ensure maximum coverage with a minimum number of test cases. The concept of OAT comes from the field of statistics and design of experiments.
The typical use case for OAT in HTML development might be testing a web form with multiple input fields. Instead of testing every possible combination of inputs (which can quickly become unmanageable), we can use OAT to select a subset of combinations that will give us good coverage.
When using OAT, remember that the goal is not to eliminate all possible bugs, but to find as many as possible with a reasonable number of test cases. Therefore, it's crucial to select your test cases wisely and to prioritize the most likely and impactful combinations.
Unfortunately, given that Orthogonal Array Testing is a testing strategy and not a programming concept, it doesn't translate directly into code snippets. However, to illustrate how you might apply OAT in practice, let's consider a simple example.
Imagine you're testing a web form that includes fields for Country, Age, and Subscription Type. Instead of testing all possible combinations of these three variables, you could use OAT to select a subset.
For instance, your orthogonal array might look like this:
Test Case | Country | Age | Subscription Type |
---|---|---|---|
1 | US | <18 | Free |
2 | UK | 18-25 | Paid |
3 | CA | >25 | Trial |
This subset ensures that we have at least one test case for each level of each variable.
In this tutorial, we've learned about Orthogonal Array Testing and how it can be used to achieve maximum test coverage with a minimum number of test cases. We've also explored how to apply OAT in the context of HTML development.
To further your understanding of OAT, try applying it to your own web development projects. Consider other variables you could include in your orthogonal arrays and experiment with different combinations.
For more information on OAT and other testing methodologies, check out Software Testing Help or Tutorialspoint.
To solidify your understanding of OAT, try the following exercises:
Remember, the goal is not to include every possible combination, but to achieve good coverage with a reasonable number of test cases. Good luck!
Test Case | Name | Password | Account Type | |
---|---|---|---|---|
1 | Null | Valid | Valid | Standard |
2 | Valid | Null | Valid | Premium |
3 | Valid | Valid | Null | Business |
Test Case | Name | Password | Account Type | Newsletter Subscription | |
---|---|---|---|---|---|
1 | Null | Valid | Valid | Standard | Yes |
2 | Valid | Null | Valid | Premium | No |
3 | Valid | Valid | Null | Business | Yes |
Try to apply OAT to other parts of your web development projects. Can you find a balance between test coverage and the number of test cases? Remember, the goal of OAT is not to find all bugs, but to find as many as possible with a reasonable number of test cases.