What Kinds Of Software Testing Should Be Considered
Black box testing - This type of Testing is not based on any knowledge of internal design or coding. These Tests are based on requirements and functionality.
White box testing - This relies 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 - probably the most 'micro' scale of testing; to test particular capabilities or code modules. This is typically accomplished by the programmer and never by testers, because it requires detailed data of the internal program, design and code. Not at all times easily executed unless the application has a well-designed architecture with tight code; might require creating test driver modules or test harnesses.
Incremental integration testing - continuous testing of an application when new functionality is added; requires that various aspects of an application's functionality be unbiased enough to work separately before all components of the program are accomplished, or that test drivers be developed as wanted; performed by programmers or by testers.
Integration testing - testing of combined components of an application to find out if they functioning collectively correctly. The 'components' could be code modules, particular person applications, client and server applications on a network, etc. This type of testing is especially related to shopper/server and distributed systems.
Functional testing - this testing is geared to functional necessities of an application; this type of testing must be completed by testers. This doesn't mean that the programmers should not check that their code works earlier than releasing it (which after all applies to any stage of testing.)
System testing - this relies on the general necessities specs; covers all of the combined elements of a system.
End-to-finish testing - this is just like system testing; involves testing of a complete application setting in a situation that imitate real-world use, corresponding to interacting with a database, utilizing network communications, or interacting with different hardware, applications, or systems.
Sanity testing or smoke testing - typically this is an initial testing to determine whether or not a new software version is performing well sufficient to just accept it for a significant 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 may not be 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's troublesome to find out how a lot re-testing is needed, particularly on the end of the development cycle. Automated testing instruments are very helpful for this type of testing.
Acceptance testing - this could be said as a remaining testing and this was accomplished primarily based on specs of the top-person or buyer, or primarily based on use by end-customers/clients over some limited interval of time.
Load testing - this is nothing however testing an application beneath heavy loads, corresponding to testing a web site beneath a range of loads to find out at what point the system's response time degrades or fails.
Stress testing - the term often used interchangeably with 'load' and 'efficiency' testing. Also used to explain such tests as system functional testing while below unusually heavy loads, heavy repetition of certain actions or inputs, input of enormous numerical values, massive complex queries to a database system, etc.
Performance testing - the term often used interchangeably with 'stress' and 'load' testing. Ideally 'efficiency' testing is defined in requirements documentation or QA or Test Plans.
Usability testing - this testing is finished for 'person-friendliness'. Clearly this is subjective, and can rely upon the focused end-person or customer. Person interviews, surveys, video recording of user sessions, and different strategies might be used. Programmers and testers are usually not suited as usability testers.
Compatibility testing - testing how well the software performs in a selected hardware/software/working system/network/etc. environment.
Person acceptance testing - determining if software is satisfactory to a finish-user or a customer.
Comparability testing - comparing software weaknesses and strengths to different competing products.
Alpha testing - testing an application when development is nearing completion; minor design adjustments should be made as a result of such testing. This is typically finished by finish-customers or others, but not by the programmers or testers.
Beta testing - testing when development and testing are essentially accomplished and final bugs and problems have to be discovered earlier than last release. This is typically achieved by end-users or others, not by programmers or testers.
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White box testing - This relies 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 - probably the most 'micro' scale of testing; to test particular capabilities or code modules. This is typically accomplished by the programmer and never by testers, because it requires detailed data of the internal program, design and code. Not at all times easily executed unless the application has a well-designed architecture with tight code; might require creating test driver modules or test harnesses.
Incremental integration testing - continuous testing of an application when new functionality is added; requires that various aspects of an application's functionality be unbiased enough to work separately before all components of the program are accomplished, or that test drivers be developed as wanted; performed by programmers or by testers.
Integration testing - testing of combined components of an application to find out if they functioning collectively correctly. The 'components' could be code modules, particular person applications, client and server applications on a network, etc. This type of testing is especially related to shopper/server and distributed systems.
Functional testing - this testing is geared to functional necessities of an application; this type of testing must be completed by testers. This doesn't mean that the programmers should not check that their code works earlier than releasing it (which after all applies to any stage of testing.)
System testing - this relies on the general necessities specs; covers all of the combined elements of a system.
End-to-finish testing - this is just like system testing; involves testing of a complete application setting in a situation that imitate real-world use, corresponding to interacting with a database, utilizing network communications, or interacting with different hardware, applications, or systems.
Sanity testing or smoke testing - typically this is an initial testing to determine whether or not a new software version is performing well sufficient to just accept it for a significant 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 may not be 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's troublesome to find out how a lot re-testing is needed, particularly on the end of the development cycle. Automated testing instruments are very helpful for this type of testing.
Acceptance testing - this could be said as a remaining testing and this was accomplished primarily based on specs of the top-person or buyer, or primarily based on use by end-customers/clients over some limited interval of time.
Load testing - this is nothing however testing an application beneath heavy loads, corresponding to testing a web site beneath a range of loads to find out at what point the system's response time degrades or fails.
Stress testing - the term often used interchangeably with 'load' and 'efficiency' testing. Also used to explain such tests as system functional testing while below unusually heavy loads, heavy repetition of certain actions or inputs, input of enormous numerical values, massive complex queries to a database system, etc.
Performance testing - the term often used interchangeably with 'stress' and 'load' testing. Ideally 'efficiency' testing is defined in requirements documentation or QA or Test Plans.
Usability testing - this testing is finished for 'person-friendliness'. Clearly this is subjective, and can rely upon the focused end-person or customer. Person interviews, surveys, video recording of user sessions, and different strategies might be used. Programmers and testers are usually not suited as usability testers.
Compatibility testing - testing how well the software performs in a selected hardware/software/working system/network/etc. environment.
Person acceptance testing - determining if software is satisfactory to a finish-user or a customer.
Comparability testing - comparing software weaknesses and strengths to different competing products.
Alpha testing - testing an application when development is nearing completion; minor design adjustments should be made as a result of such testing. This is typically finished by finish-customers or others, but not by the programmers or testers.
Beta testing - testing when development and testing are essentially accomplished and final bugs and problems have to be discovered earlier than last release. This is typically achieved by end-users or others, not by programmers or testers.
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