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A test strategy is an outline that describes the testing approach of the software development cycle.The purpose of a test strategy is to provide a rational deduction from organizational, high-level objectives to actual test activities to meet those objectives from a quality assurance perspective.
This article discusses a set of tactics useful in software testing.It is intended as a comprehensive list of tactical approaches to software quality assurance (more widely colloquially known as quality assurance (traditionally called by the acronym "QA")) and general application of the test method (usually just called "testing" or sometimes "developer testing").
The number of test cases per input data set is: n C 1 + n C 1 + … + n C 1 = 2 n-1 Where n = total number of synchronization, process creation and communication calls. This equation has exponential order. In order to reduce the number of test cases, either Deterministic Execution Method (DET) or Multiple Execution Technique (MET) is used ...
The goal of continuous testing is to provide fast and continuous feedback regarding the level of business risk in the latest build or release candidate. [2] This information can then be used to determine if the software is ready to progress through the delivery pipeline at any given time.
[1] [2] When used to determine if a computer program should be subjected to further, more fine-grained testing, a smoke test may be called a pretest [5] or an intake test. [1] Alternatively, it is a set of tests run on each new build of a product to verify that the build is testable before the build is released into the hands of the test team. [6]
Development, testing, acceptance and production (DTAP) [1] [2] is a phased approach to software testing and deployment. The four letters in DTAP denote the following common steps: Development: The program or component is developed on a development system. This development environment might have no testing capabilities.
General model-based testing setting 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 ...
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 ...