Data-driven testing

Data-driven testing is like baking a cake with different ingredients. Imagine that you want to bake a cake and you have a recipe that tells you how much flour, sugar, and eggs you need. But what if you want to try making a new cake with different ingredients? You can use data-driven testing to test the new recipe.

Okay, let's use an example. Suppose you have a website that sells t-shirts and you want to test if it’s working correctly. You need to find different scenarios to make sure that the website is up and running without bugs. Data-driven testing means that you create a set of test cases using data or inputs that have been defined in a spreadsheet or a data file.

For instance, let’s say you want to test if your website sells t-shirts with valid sizes. Instead of writing a separate test case for each size, you can write one test case that takes multiple sizes as input from your data file or spreadsheet. This way, you don't have to write a ton of test cases for each size so you can test all the sizes at once.

Data-driven testing not only saves time by minimizing the number of test cases you have to write, but it also ensures more coverage of the functionality of your application. With data-driven testing, you can test the application with different sets of data in a systematic way. You can easily analyze and interpret the results to find out the problematic areas in your application.

In summary, data-driven testing is like baking a cake with different ingredients. You can use data or inputs from a spreadsheet or data file to develop a set of test cases that can be executed in a systematic way to ensure that your application is working correctly. It saves time, increases coverage, and provides a better understanding of problematic areas.