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Q. Explain Predictive validity?
Predictive validity: It is the potential of the model to predict future failure behaviour from present and past failure behaviour. This capability is important only when failure behaviour is changing. There are two universal ways of viewing predictive validity based on the two equivalent approaches to characterizing failure random process namely
1. The number of failure approach as well as
2. The failure time approach.
We can visually ensure the predictive validity by plotting the relative error against the normalised test time.
Q. What do you understand by black box testing? Black Box Testing:-Black Box Testing is as well called behavioural testing focuses on the functional requirements of the softwar
Determine the Shared mode of QTP - Best used in subsequent cases: - When there are numerous tests which correspond to interface, objects, or application - When test obj
The aim of regression testing is to test that the fixes have not formed any other problems elsewhere. The aim is to ensure the software has remained intact. A baseline set of data
Token count: - A program is considered to be series of tokens and if we count the number of tokens, some interesting results might be emerge. Tokens are classified as either opera
Question 1 Write short notes on (i) Lexical Analysis (ii) Syntax Analysis (iii) Semantic Analysis 2 Explain various data structures used in Macro Processor Design 3 Descr
Write the steps followed in testing? i. Unit testing - The individual components are tested in this type of testing. ii. Module testing - Related collection of independent c
normal vector
what are the main characteristics of software lease
What are functional and non-functional requirements?
Q. Explain about Integration testing? Integration testing: The primary objective of integration testing is to test the module interfaces, i.e. there are no errors in the para
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