Functional Testing

Commonly called User Acceptance Testing (UAT) and sometimes referred to as Beta Testing, Acceptance Testing determines if the end product is useful to the end-user, the people that will be using the live system. In functional testing, we verify that a product works correctly according to specification.
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The final step before beta testing, alpha testing is most often done in house or by a team who is appraised of business and functional requirements and design specifications. Sometimes this testing is performed before the product is completely finalized.
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As the last stage of testing, beta testing can involve in house testing or sending the product outside the company for more real-world exposure. Sometimes these tests are done by a limited public audience, as they often are for video games.
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Black box testing essentially means that the testers don’t have access to the source code of the application.
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Database testing involves many layers. From the UI, to the data access, to the actual database.
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When performing an end-to-end test, the entire flow of the application from the starting point to the end point is validated.
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Sometimes referred to as ad hoc testing, exploratory testing is done by performing test design and execution at the same time.
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Many high-end systems that have heavy use and carry a lot of data have a failover system in place.
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Functional testing specifically focuses on the expected functionality of the application under test.
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Negative and positive testing are two sides of the same coin and as such, are often performed in tandem.
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Integration testing ensures that the individual unit tested components work well together.
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Positive testing is employed to make sure that the application or system does what it is supposed to do.br> Know More

Sanity tests and smoke tests are terms that are often used interchangeably. At the core, sanity tests make sure that a system is ready to test. That is the simplest definition, but it is a little more involved than that.
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Not unlike end-to-end testing, System Testing verifies the behavior of the entire system against business, system, and functional requirements. It’s generally done after the unit testing and integration testing has been completed.
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Generally speaking, a unit is the smallest testable part of an application. Therefore, unit testing involves testing each of these units individually. Commonly automated, unit testing’s objective is to validate the correct functionality of each unit under isolation.
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White box testing assumes that the testers involved can look at the application code. In this type of testing, testers can look for potential failure scenarios in the code itself and ensure each class is behaving the way it’s supposed to.
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Many people, even some testers, don’t realize that testing can and should start before a line of code is ever written. Static testing is that process, and it continues even after coding has started, but execution of the code isn’t necessary in static testing.
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Volume testing is a type of non-functional testing that refers to testing the data load capabilities of a product. For instance, if we expect certain database growth, we may want to artificially grow the database to that size and test the performance of the application when using it.
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The code is the backbone of any software, and the correct functioning of any software or application completely depends on the flawlessness of its code.
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