Black box testing – This kind of Testing isn’t primarily based on any knowledge of internal design or coding. These Tests are primarily based on requirements and functionality.
White box testing – This relies on knowledge 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 particular functions or code modules. This is typically completed by the programmer and not by testers, as it requires detailed knowledge of the internal program, design and code. Not always simply done unless the application has a well-designed architecture with tight code; may require growing test driver modules or test harnesses.
Incremental integration testing – continuous testing of an application when new functionality is added; requires that numerous elements of an application’s functionality be unbiased sufficient to work separately earlier than all parts of the program are completed, or that test drivers be developed as wanted; completed by programmers or by testers.
Integration testing – testing of mixed parts of an application to find out if they functioning collectively correctly. The ‘parts’ will be code modules, particular person applications, consumer and server applications on a network, etc. This type of testing is very 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 completed by testers. This doesn’t mean that the programmers shouldn’t check that their code works before releasing it (which of course applies to any stage of testing.)
System testing – this is based on the general requirements specifications; covers all the combined parts of a system.
Finish-to-finish testing – this is much like system testing; includes testing of a whole application atmosphere in a situation that imitate real-world use, such as 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 model is performing well enough to accept it for a significant testing effort. For instance, 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 traditional condition to warrant additional testing in its present state.
Regression testing – this is re-testing after bug fixes or modifications of the software. It’s difficult to find out how much re-testing is required, especially at the finish of the development cycle. Automated testing tools are very useful for this type of testing.
Acceptance testing – this might be said as a ultimate testing and this was achieved based on specifications of the top-person or customer, or primarily based on use by end-customers/prospects over some limited interval of time.
Load testing – this is nothing however testing an application under heavy loads, corresponding to testing a web site under a range of loads to determine at what point the system’s response time degrades or fails.
Stress testing – the term usually used interchangeably with ‘load’ and ‘efficiency’ testing. Additionally used to describe such tests as system functional testing while under unusually heavy loads, heavy repetition of sure actions or inputs, input of large numerical values, giant complicated queries to a database system, etc.
Efficiency testing – the time period usually used interchangeably with ‘stress’ and ‘load’ testing. Ideally ‘performance’ testing is defined in necessities documentation or QA or Test Plans.
Usability testing – this testing is completed for ‘consumer-palliness’. Clearly this is subjective, and can rely on the targeted finish-consumer or customer. User interviews, surveys, video recording of user periods, and other techniques might 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-user or a customer.
Comparison 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 finished by end-customers or others, however not by the programmers or testers.
Beta testing – testing when development and testing are essentially completed and remaining bugs and problems need to be found before ultimate release. This is typically achieved by end-customers or others, not by programmers or testers.
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