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Data-driven testing (DDT), also known as table-driven testing or parameterized testing, is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.
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.
For example, assignment of the number of days in a month (excluding leap years) could be achieved by using either a switch statement or by using a table with an enumeration value as an index. The number of tests required based on the source code could be considerably different depending upon the coverage required, although semantically we would ...
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.
LoadRunner is a software testing tool from OpenText.It is used to test applications, measuring system behavior and performance under load.. LoadRunner can simulate millions of users concurrently using application software, recording and later analyzing the performance of key components of the application whilst under load.
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.