What does SVT mean in SOFTWARE

Software Verification Testing (SVT) is an approach for verifying the correctness of a software program by executing it with specific inputs and validating expected outputs. The idea behind SVT is to ensure an application meets the intentions outlined in its specifications, and verify that it works as designed.

The main difference between SVT and Software Validation Testing (SVT) is that SVT focuses on verifying based on specifications, while software validation testing focuses on ensuring that actual user requirements are met. While both techniques involve running tests, SVT focuses more heavily on testing against a predefined set of test cases based upon the design documents, while software validation tests focus more on testing against actual user expectations.

Peer review is a process where developers in a team review each other's code to ensure it meets coding standards and any other requirements laid out by the team. This helps to reduce errors in code before it goes into production and can help save money by avoiding costly fixes further down the line.

Escalation in verification testing occurs when further investigation into issues identified during verification testing are needed. This may be needed if a result arises which was not expected, or if there are discrepancies between design documents and code implementations which need further checking. Escalation helps ensure any potential bugs or unexpected behaviour can be addressed before they go into production.

Some popular techniques used for identifying potential issues during verification testing include boundary value analysis, equivalence classes, cause-effect graphing, orthogonal arrays and statement/branch coverage analysis. These techniques help to identify areas of risk in the application being tested and also provide insight about how thoroughly tested these areas are with existing test cases.

Peer review during verification testing can be useful for ensuring that all aspects of the software source code are checked thoroughly for accuracy before going into production. By having multiple people inspect source code it can reduce the chances of errors going unnoticed until after deployment, saving time and money having to fix them later on down the line.