{"id":11545,"date":"2022-08-26T14:28:46","date_gmt":"2022-08-26T07:28:46","guid":{"rendered":"https:\/\/bestarion.com\/us\/?p=11545"},"modified":"2024-10-06T03:26:22","modified_gmt":"2024-10-05T20:26:22","slug":"types-of-software-testing","status":"publish","type":"post","link":"https:\/\/bestarion.com\/us\/types-of-software-testing\/","title":{"rendered":"Different Types of Software Testing\u00a0"},"content":{"rendered":"

\"types<\/p>\n

Here are various types of software testing<\/a> techniques you can employ to ensure that changes to your code work as expected. However, not all testing is created equal, and we investigate how some testing practices differ.<\/span><\/p>\n

<\/span>Types of Functional Testing<\/span><\/span><\/h2>\n

There are four main types of functional testing<\/span><\/p>\n

1. Unit Testing<\/span><\/h3>\n

Unit testing<\/a> is a type of software testing that is performed on a single unit or component to test its corrections. The developer typically performs unit testing during the application development phase. Each testing unit can be considered a method, function, procedure, or object. For test execution, developers frequently use test automation tools such as NUnit, Xunit, and JUnit.<\/span><\/p>\n

Unit testing is important because it allows us to find more defects.<\/span><\/p>\n

There is, for example, a simple calculator application. For addition functionality, the developer can write a unit test to see if the user can enter two numbers and get the correct sum.<\/span><\/p>\n

a) White Box Testing<\/span><\/h4>\n

White box testing is a type in which the tester can see and interact with an application’s internal structure or code. This technique makes it simple to identify flaws in an application’s design or errors in business logic. White box test techniques include statement coverage and decision coverage\/branch coverage.<\/span><\/p>\n

b) Gorilla Testing<\/span><\/h4>\n

Gorilla testing is a technique in which the tester and\/or developer thoroughly test the application’s module in all aspects. Gorilla testing is used to determine the robustness of your application.<\/span><\/p>\n

For example, the tester is testing the website of a pet insurance company, which offers the service of purchasing an insurance policy, a pet tag, and a Lifetime membership. The tester can concentrate on a single module, the insurance policy module, and thoroughly test it with positive and negative test scenarios.<\/span><\/p>\n

2. Integration Testing<\/span><\/h3>\n

Integration testing<\/a> is a type of software testing in which two or more application modules are logically grouped and tested as a unit. This type of testing aims to identify flaws in the interface, communication, and data flow between modules. Integrating modules into the overall system uses either a top-down or bottom-up approach.<\/span><\/p>\n

This type of testing is performed on system modules or between systems. For example, suppose a user purchases a plane ticket from any airline’s website. While buying a ticket, users can see flight details and payment information. Still, flight details and payment processing are two separate systems. While integrating the airline website and payment processing system, integration testing should be performed.<\/span><\/p>\n

a) Gray box testing<\/span><\/h4>\n

Gray box testing, as the name implies, is a hybrid of white-box and black-box testing. Testers have only a hazy understanding of an application’s internal structure or code.<\/span><\/p>\n

3. System Testing<\/span><\/h3>\n

System testing<\/a> is a type in which the tester evaluates the entire system against the specifications.<\/span><\/p>\n

a) End-to-End Testing<\/span><\/h4>\n

It entails testing an entire application environment in a scenario that simulates real-world use, such as interacting with a database, using network communications, or interacting with other hardware, applications, or systems, if applicable.<\/span><\/p>\n

A tester, for example, is putting a pet insurance website through its paces. End-to-end testing includes purchasing an insurance policy, LPM, tag, adding another pet, updating credit card information on user accounts, updating user address information, and receiving order confirmation emails and policy documents.<\/span><\/p>\n

b) Black Box Testing<\/span><\/h4>\n

Blackbox testing is a software testing technique in which testing is performed without knowledge of a system’s internal structure, design, or code. Testers should only pay attention to the input and output of test objects.<\/span><\/p>\n

c) Smoke Testing<\/span><\/h4>\n

Smoke testing ensures that the system’s basic and critical functions are working correctly at a high level.<\/span><\/p>\n

When the development team provides a new build, the Software Testing team validates it to ensure no major issues exist. The testing team will ensure that the build is stable, and additional detailed testing will be performed.<\/span><\/p>\n

For example, a tester puts a pet insurance website through its pages. Purchasing an insurance policy, adding another pet, and providing quotes are all basic and essential features of the application. Before performing in-depth testing on this website, smoke testing ensures that all its functionalities are operational.<\/span><\/p>\n

d) Sanity Testing<\/span><\/h4>\n

Sanity testing is done on a system to ensure that newly added functionality or bug fixes are functional. On a stable build, sanity testing is performed. The regression test is a subset of it.<\/span><\/p>\n

A tester, for example, is putting a pet insurance website through its paces. The discount for purchasing a policy for a second pet has changed. Then, only the buying insurance policy module is subjected to sanity testing.<\/span><\/p>\n

e) Happy path Testing<\/span><\/h4>\n

Happy Path Testing aims to test an application on a positive flow successfully. It does not search for negative or incorrect conditions. The emphasis is solely on valid and positive inputs that cause the application to produce the expected output.<\/span><\/p>\n

f) Monkey Testing<\/span><\/h4>\n

A tester performs monkey testing, assuming that if the monkey uses the application, the monkey will enter random input and values without any knowledge or understanding of the application.<\/span><\/p>\n

Monkey Testing is used to see if an application or system crashes by providing random input values\/data. Monkey Testing is done randomly, no test cases are scripted, and it is unnecessary to be aware of the system’s full functionality.<\/span><\/p>\n

4. Acceptance Testing\u00a0<\/span><\/h3>\n

Acceptance testing<\/a> is testing in which the client\/business\/customer puts the software through its paces using real-world business scenarios.<\/span><\/p>\n

The client only accepts the software when all the features and functionalities work as expected. This is the final stage of testing before the software goes into production. This is also referred to as User Acceptance Testing (UAT).<\/span><\/p>\n

a) Alpha Testing<\/span><\/h4>\n

Alpha testing is a type of acceptance testing done by an organization’s team to find as many flaws as possible before releasing software to customers.<\/span><\/p>\n

The pet insurance website, for example, falls under UAT. The UAT team will run real-time scenarios such as purchasing an insurance policy, purchasing an annual membership, changing the address, and transferring pet ownership like the user would use the actual website. The team can use test credit card information to process payment-related scenarios.<\/span><\/p>\n

b) Beta Testing<\/span><\/h4>\n

Beta testing is a type of software testing performed by clients\/customers. It is carried out in the real world before releasing the product to the market for actual end users.<\/span><\/p>\n

Beta testing ensures that there are no significant flaws in the software or product and that it meets the business requirements from the end-user perspective. When the customer accepts the software, beta testing is considered successful.<\/span><\/p>\n

End users typically perform this testing. This is the final round of testing before releasing the application for commercial use. Typically, the Beta version of a released software or product is limited to a specific number of users in a particular area.<\/span><\/p>\n

As a result, the end user uses the software and provides feedback to the company. The company then takes the necessary steps before releasing the software globally.<\/span><\/p>\n

c) Operational acceptance testing (OAT)<\/span><\/h4>\n

In the production environment, operations or system administration staff perform operational acceptance testing on the system. Functional acceptance testing aims to ensure that system administrators can keep the system running correctly for users in real time.<\/span><\/p>\n

The OAT focuses on the following points:<\/span><\/p>\n