White box testing

White box testing is where you test a software, while taking its design, code, and internal structure into consideration. In other words, you will be verifying the input, flow of data, and the output to verify that the system is working correctly. The main objective of white box testing is to improve usability, security, and design of software. As a tester, you will be aware of the code.

There are numerous reasons available for you to go ahead with white box testing. For example, if you want to discover internal security holes, poorly structured paths, or to understand the behavior of specific inputs that you pass through code, you should do white box testing.

White box testing is quite complicated when compared to black box testing. You should initially understand the source code. This is the main reason on why not every tester can proceed with white box testing. You should have the understanding of a programmer to proceed with testing. Then you should create the test cases and execute them.

There are multiple techniques to follow as you do white box testing. For example, you should do statement coverage, where you test each and every statement within code. Then you get into branch coverage, where you check all possible paths in the code.

There are few types of testing that you perform in white box testing as well. Unit testing holds a prominent place out of them. This is where you test each block of code or unit in order to verify its intended functionality. In agile software development environments, you also test for memory leaks. To improve security of the application, you do penetration testing. On top of that, you even do white box mutation testing, where you try to discover whether best coding practices have been used.

— Slimane Zouggari

Black Box Texting

Black Box Testing is a method of testing software, where you will conduct a test without having a good understanding about the internal code structure or any other implementation details. You will just be focusing on the input to the system and output that you receive from the system for testing. In other words, black box testing is driven by specifications and requirements of software.

For example, assume that you want to test a login page of a website. Your inputs will be username, password, and forget your password link. You will not know how these functionalities are programmed. You just focus on the outcome that you get as you execute your test cases.

Even though black box testing sounds simple, there is an approach to follow and get your work done. You should begin with understanding software requirement and specifications. Then you will need to select valid inputs. Based on the understanding you have about the system; you can determine the output for desired inputs. Upon writing test cases for it, you can execute them. Then you can compare the results you got with the desired results. This will eventually help you to locate defects and raise bugs.

When it comes to agile software development, you can discover three main types of testing. They include functional testing, non-functional testing, and regression testing. Likewise, there are numerous techniques that you can follow for black box testing as well. If you want to minimize the total number of test cases, you can proceed with equivalence class testing. Or else, you can take a look at decision table testing, where you evaluate causes and results in a matrix, or try boundary value testing, where you focus on the values at boundaries. If understanding code is not a must, you may take a look at black box testing.

— Slimane Zouggari

A/B Test

A/B Testing is where you conduct a comparison in between two or more variations of a variable to determine what variable delivers the best results. This variable can be a web page, an element of a web page, or anything in between.

A/B testing removes all of the guesswork from website optimization, allowing experienced optimizers to make data-driven judgments. The ‘control’ or initial testing variable is referred to as A in A/B testing. B stands for ‘variant,’ which is a new version of the original testing variable.

Numerous reasons are available for you to conduct A/B testing in an agile environment. One of the key objectives of A/B testing is to understand the pain points of visitors who visit your website. You will be able to provide a better user experience to them after your series of A/B testing efforts. The end results will provide you the opportunity to secure a better return out of your investment from existing traffic. On the other hand, it will assist you to reduce your overall bounce rates. That’s because you are making your website more appealing for the visitors. You can also make low-risk modifications to your website with A/B testing. You can verify the improvements you achieve out of A/B testing statistically.

The success of your company is determined on the conversion funnel on your website. As a result, every piece of content that your target audience encounters on your website must be optimized to its full potential. This is especially true for items that have the ability to impact the behavior of your website visitors and the conversion rate of your business. Some of the elements that you can subject to A/B testing on the website include headlines, sub-headlines, body, subject lines, and the overall design layout.

— Slimane Zouggari

Agile testing

Agile testing is a type of testing that adheres to agile software development’s rules and concepts. Unlike the Waterfall technique, Agile Testing may begin right at the start of a project, with development and testing working in tandem. Agile testing is a continuous process rather than a sequential one.

Before you proceed with agile testing, you should have a well-defined test plan. The test data requirements, infrastructure, test environments, and test results are all included in the agile test strategy for that iteration. Unlike the waterfall paradigm, an agile model involves writing and updating a test strategy for each release. During agile testing, you will focus on numerous testing methods, including user acceptance testing, collaborative testing, pair testing, exploratory testing, and usability testing.

As you do agile testing, you will also need to be aware about the risks associated with it. For example, the automated user interface will provide confidence that you need to proceed with testing. However, it would be slow during execution. On the other hand, it would cost a lot to build and be quite fragile for maintenance as well. Automation would not improve the overall productivity of testing significantly. The tester has to play a major role in here. In other words, the tester should be aware of how to test in the right way.

In software testing, the agile methodology emphasizes testing as early as feasible in the software development lifecycle. It necessitates a high level of client participation and the testing of code as soon as it is made public. The code should be reliable enough to be tested in a production environment. To ensure that the issues are addressed and tested, extensive regression testing may be performed. The effectiveness of agile model testing is primarily down to team communication.

— Slimane Zouggari