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Software testing can provide objective, independent information about the quality of software and the risk of its failure to a user or sponsor. [1] Software testing can determine the correctness of software for specific scenarios but cannot determine correctness for all scenarios. [2] [3] It cannot find all bugs.
Dynamic testing involves running the software. Static testing includes verifying requirements, syntax of code and any other activities that do not include actually running the code of the program. Testing can be further divided into functional and non-functional testing. In functional testing the tester would check the calculations, any link on ...
Smoke testing (software) Soak testing; SOASTA; Software load testing; Software performance testing; Software reliability testing; Software testability; Software testing certification board; Software testing controversies; Software testing outsourcing; Software Testing, Verification & Reliability; Software verification; Specification by example
System integration testing (SIT) involves the overall testing of a complete system of many subsystem components or elements. The system under test may be composed of electromechanical or computer hardware, or software , or hardware with embedded software , or hardware/software with human-in-the-loop testing.
Model-based testing is an application of model-based design for designing and optionally also executing artifacts to perform software testing or system testing. Models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment. The picture on the right depicts the former ...
ISO/IEC/IEEE 29119 Software and systems engineering -- Software testing [1] is a series of five international standards for software testing.First developed in 2007 [2] and released in 2013, the standard "defines vocabulary, processes, documentation, techniques, and a process assessment model for testing that can be used within any software development lifecycle."
So mutation testing is defined as using mutation analysis to design new software tests or to evaluate existing software tests. [4] Thus, mutation analysis and testing can be applied to design models, specifications, databases, tests, XML, and other types of software artifacts, although program mutation is the most common.
In software development, functional testing is a form of software system testing that verifies whether software matches its design. Generally, functional testing is black-box meaning the internal program structure is ignored (unlike for white-box testing). [1] Functional testing can evaluate compliance to functional requirements. [2]