Introduction to Types of QA Testing | Everything You need to Know

Introduction:

Quality Assurance testing is a very crucial part of the software development lifecycle. It ensures that the products that reach users meet the required quality, security, availability, reliability, & scalability standards. However, when it comes to the various types of QA testing, two come to mind: manual testing & automated testing. But many other tests also have a strong impact on the final QA. 

Types of QA Testing:

Every software tester frequently encounters various QA testing types, some of which they have experience with and others of which they have only heard. Unfortunately, not everyone is aware of the various QA testing types or how they affect the product's overall quality. Testing can be divided into manual and automated processes at a high level, but there are several additional types when you go deeper. Here are various QA testing types that one should know: Unit testing, Integration testing, Component testing, End-to-End testing, Performance testing, sanity testing, Smoke testing, system testing, and user acceptance testing. Let us go through them one by one:

Unit Testing:

You might have probably heard about this one. It is a low-level testing method used to test specific components or output functions of the software under test. With unit testing, developers focus their efforts on testing at the beginning of the software development, in this way, they can make sure that each component of your software application is according to the industry's standards. It helps them to understand the underlying functionality of the code by testing each testable component of the entire software. This technique also determines the likelihood that any change will result in a bug, which can then be quickly found and fixed.

Component Testing:

The next step is to move from unit to component of the software itself. Component testing enables testers to test multiple units or components within a single code after unit testing is complete. Component testing helps find potential flaws that might appear once the components are connected by using real data and testing how different components operate independently without integration.

Integration testing:

It determines whether the various modules or services used by the application function well together as a whole. This step follows affect the unit and component testing in the QA testing lifecycle. Integration testing assists in determining whether a system or component complies with the necessary functional requirements by grouping various components and testing them all at once.

End-to-End Testing:

It is done to evaluate the functionality & performance of the software in real-world scenarios. End-to-end testing helps simulate what a real-world scenario would look like & confirms that the various user flows function as expected by simulating user behavior in product-like circumstances. Testing data integrity and system communication with other systems is made easier by simulating user behavior and journeys.

Performance Testing:

It enables testers to examine the system's behavior under heavy load. Performance tests confirm the product's dependability, stability, and availability and determine whether adding more load will reduce the system's performance. We recommend using PerfDog, a performance testing tool from WeTest which brings a lot to the table.

Regression Testing:

It enables testers to test an application after a change or modification has been made. It checks to see if previously developed and tested software still performs as expected after bug fixes, software upgrades, or configuration changes by running functional and non-functional tests. You can improve the efficiency of automation by making sure that recent codes and additions are functioning correctly.

System Testing:

It enables QA teams to assess how an application's various components work together as a complete, integrated system. System testing is focused on ensuring that every type of user input results in the desired output & is based on the overall requirement specifications.

Sanity Testing:

It is a type of regression testing that helps testers in determining whether new code alterations or feature updates function well enough to go through extensive testing of the entire software. If the application crashes, it indicates that the system is not stable enough for further testing, & a new build is assigned to address the issues. Sanity testing is used to determine whether a software build has been correctly finished rather than to thoroughly verify the functionality of the program.

Smoke Testing:

This technique entails examining the application's fundamental functionality to ascertain whether key system components are operating as expected. Smoke tests are particularly helpful in determining whether more expensive tests on the application in the newly deployed environment are necessary after a new build. They also aid in determining whether failures are serious enough to reject a potential software release.

User Acceptance testing:

It is the final test in the QA lifecycle, performed just before the product is released. It determines whether the software or product can handle practical situations. It determines whether the system satisfies business requirements by simulating user behavior and rejects changes if certain requirements aren't met.

QA Testing with WeTest:

Many different types of QA testing must be run in the world of software development to make sure the end product functions as intended for various users and situations. Understanding the various QA testing types is essential to know which tests to run at which stage of the development lifecycle. Additionally, QA testing makes sure that the product you deliver to your users satisfies all necessary quality, dependability, and security standards. This is why we recommend Crowd testing and other QA services from WeTest which offer high-end QA testing for user experience, core functions, and digital system design, at different stages of the product to help improve product quality based on user feedback. Clients get local users through multiple channels, push test information, filter users according to different demands, and cover almost all types, age groups, and game skill levels to meet the requirements of all types of products, all this happens without project info leakage.