If you’re working on an AI model and performing defect tracking, chances are you’ve stumbled upon white box and black box testing and might not know what this means. In order to create a reliable program, you need to use these two testing techniques. But if you’re new to testing, they probably come as a challenge, especially if you do not understand them yet. You’ll be happy to know that black box and white box testing can ensure the reliability of your software. Learn how Black Box and White Box Testing works for AI Models.
So, what are white box and black box testing, how do they help with bug tracking, and how are they different? This article will tell you everything you need to know.
What Is White Box Testing?
In white box testing, the focus is on checking an application design and internal structure. This is a common testing method for many teams, allowing experts to look at the input-to-output data flow. If you want to make your AI model better and more efficient, then white box testing is the way to go. That’s because it helps optimize code while doing hidden bug tracking.
What Is Black Box Testing?
Unlike white box testing, black box testing is a technique used when you are not aware of an app’s design and internal structure. Instead, the experts focus on a comparison of the output and input value. It allows you to understand the experience of the users, as well as what happens once a product or application is completed.
Can You Use Black Box and White Box Testing Together?
Aside from using a defect management tool, many testing teams chose either white box or black box testing models for their products. However, a common question that testing teams have is, “Can you use the two together?” Well, in some cases, it is possible.
Lots of teams went for white box testing instead of black box. Still, that doesn’t mean they all ditched black box testing for AI models altogether. The more testing you do, the better because it ensures you find potential defects and have enough time to solve them. If you use both, white box testing will help you understand the inner workings of an app. Conversely, black box testing will help you comprehend how things work from the point of view of a customer.
What Are the Differences Between White Box and Black Box Testing?
Let’s take a look at some main differences between the two techniques:
- While white box testing requires programming knowledge, black box testing doesn’t.
- In white box, testers can be developers or programmers; in black box, they can be programmers, developers, or even customers.
- White box testing requires plenty of time, while black box testing doesn’t need as much.
- You can use algorithm testing with white box testing, but the same cannot be said about black box.
Final Thoughts
Black box testing focuses on comparing the input and output value and understanding the perspective of a potential user. On the other hand, white box testing relies on understanding the inner workings of an application or program.
They are both great for defect tracking, but white box testing is better for those with programming knowledge, whereas black box testing doesn’t require such knowledge. Although you can settle on one model, the two can also be used interchangeably, leading to better results for your products.
