Black box testing - This sort of Testing isn't based mostly on any knowledge of inside design or coding. These Tests are primarily based on necessities and functionality.
White box testing - This relies on data of the internal logic of an application's code. Tests are primarily based on coverage of code statements, branches, paths, conditions.
Unit testing - probably the most 'micro' scale of testing; to test specific functions or code modules. This is typically performed by the programmer and not by testers, as it requires detailed data of the internal program, design and code. Not all the time simply finished unless the application has a well-designed architecture with tight code; might require developing test driver modules or test harnesses.
Incremental integration testing - steady testing of an application when new functionality is added; requires that various aspects of an application's functionality be unbiased sufficient to work separately before all elements of the program are accomplished, or that test drivers be developed as wanted; achieved by programmers or by testers.
Integration testing - testing of mixed parts of an application to find out if they functioning collectively correctly. The 'elements' might be code modules, individual applications, client and server applications on a network, etc. This type of testing is particularly relevant to shopper/server and distributed systems.
Functional testing - this testing is geared to functional necessities of an application; this type of testing must be performed by testers. This does not imply that the programmers shouldn't check that their code works before releasing it (which in fact applies to any stage of testing.)
System testing - this is based on the overall requirements specs; covers all the mixed elements of a system.
Finish-to-finish testing - this is similar to system testing; involves testing of an entire application surroundings in a state of affairs that imitate real-world use, corresponding to interacting with a database, using network communications, or interacting with other hardware, applications, or systems.
Sanity testing or smoke testing - typically this is an preliminary testing to find out whether a new software version is performing well enough to accept it for a serious testing effort. For instance, if the new software is crashing systems in each 5 minutes, making down the systems to crawl or corrupting databases, the software is probably not in a normal situation to warrant further testing in its present state.
Regression testing - this is re-testing after bug fixes or modifications of the software. It is difficult to determine how a lot re-testing is needed, especially at the finish of the development cycle. Automated testing instruments are very useful for this type of testing.
Acceptance testing - this could be said as a ultimate testing and this was performed based mostly on specs of the end-person or buyer, or based mostly on use by finish-users/customers over some restricted period of time.
Load testing - this just isn'thing however testing an application beneath heavy loads, resembling testing a web site below a range of loads to determine at what level the system's response time degrades or fails.
Stress testing - the term typically used interchangeably with 'load' and 'efficiency' testing. Also used to describe such tests as system functional testing while under unusually heavy loads, heavy repetition of sure actions or inputs, input of enormous numerical values, giant complicated queries to a database system, etc.
Performance testing - the term usually 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 'consumer-good friendliness'. Clearly this is subjective, and can depend upon the focused finish-user or customer. Person interviews, surveys, video recording of user periods, and other strategies may be used. Programmers and testers are usually not suited as usability testers.
Compatibility testing - testing how well the software performs in a particular hardware/software/operating system/network/etc. environment.
Person acceptance testing - figuring out if software is satisfactory to a finish-person 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 changes should still be made on account of such testing. This is typically accomplished by end-customers or others, but not by the programmers or testers.
Beta testing - testing when development and testing are essentially accomplished and closing bugs and problems must be found before ultimate release. This is typically finished by finish-customers or others, not by programmers or testers.
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