Black box testing - This type of Testing shouldn't be primarily based on any information of internal design or coding. These Tests are based on requirements and functionality.
White box testing - This is based on knowledge of the inner logic of an application's code. Tests are primarily based on coverage of code statements, branches, paths, conditions.
Unit testing - essentially the most 'micro' scale of testing; to test specific capabilities or code modules. This is typically achieved by the programmer and not by testers, as it requires detailed knowledge of the inner program, design and code. Not at all times simply performed unless the application has a well-designed architecture with tight code; might require creating test driver modules or test harnesses.
Incremental integration testing - steady testing of an application when new functionality is added; requires that numerous points of an application's functionality be unbiased enough to work separately before all parts of the program are completed, or that test drivers be developed as wanted; done by programmers or by testers.
Integration testing - testing of combined parts of an application to find out in the event that they functioning together correctly. The 'elements' could be code modules, particular person applications, client and server applications on a network, etc. This type of testing is especially related to consumer/server and distributed systems.
Functional testing - this testing is geared to functional requirements of an application; this type of testing needs to be done by testers. This does not imply that the programmers shouldn't check that their code works earlier than releasing it (which of course applies to any stage of testing.)
System testing - this is based on the general necessities specifications; covers all of the combined parts of a system.
Finish-to-finish testing - this is similar to system testing; involves testing of a complete application atmosphere in a situation that imitate real-world use, similar to interacting with a database, utilizing network communications, or interacting with other hardware, applications, or systems.
Sanity testing or smoke testing - typically this is an initial testing to determine whether or not a new software model is performing well sufficient to accept it for a significant testing effort. For example, if the new software is crashing systems in every 5 minutes, making down the systems to crawl or corrupting databases, the software may not be in a normal situation to warrant further testing in its current state.
Regression testing - this is re-testing after bug fixes or modifications of the software. It's difficult to determine how much re-testing is required, particularly at the end of the development cycle. Automated testing instruments are very useful for this type of testing.
Acceptance testing - this could be said as a last testing and this was done based on specs of the end-consumer or customer, or based on use by finish-users/clients over some restricted period of time.
Load testing - this just isn'thing but testing an application below heavy loads, akin to testing a web site below a range of loads to find out at what level the system's response time degrades or fails.
Stress testing - the time period typically used interchangeably with 'load' and 'performance' testing. Also used to describe such tests as system functional testing while under unusually heavy loads, heavy repetition of certain actions or inputs, enter of huge numerical values, large complicated queries to a database system, etc.
Performance testing - the time period often used interchangeably with 'stress' and 'load' testing. Ideally 'efficiency' testing is defined in necessities documentation or QA or Test Plans.
Usability testing - this testing is finished for 'person-buddyliness'. Clearly this is subjective, and will depend on the focused finish-person or customer. User interviews, surveys, video recording of consumer sessions, and different strategies may be used. Programmers and testers are usually not suited as usability testers.
Compatibility testing - testing how well the software performs in a specific hardware/software/working system/network/etc. environment.
User acceptance testing - figuring out if software is satisfactory to a finish-user or a customer.
Comparability testing - comparing software weaknesses and strengths to other competing products.
Alpha testing - testing an application when development is nearing completion; minor design modifications should still be made because of such testing. This is typically accomplished by end-customers or others, however not by the programmers or testers.
Beta testing - testing when development and testing are essentially completed and last bugs and problems must be found earlier than last release. This is typically finished by end-customers or others, not by programmers or testers.
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