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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.
REVERSE ENGINEERING :- It is a process of examining software with a view to understanding its design and specification. In this, source code and portable code are the input
What is software measure? A software measure is a mapping from a set of objects in the software engineering world information a set of mathematical construct like numbers or ve
Q. Explain different type of testing tools? (a) Test Case Generators: These tools produce test cases from SRS program or test design languages. They utilize certain rules cal
Q. Explain Lines of code - Software Metrics? Lines of code (LOC) is a software metric used to measure the size of a software program by counting the number of lines in the te
Write short notes on empirical estimation models. Estimation model for computer software uses empirically derived formulas to assume effort as a function of line of codes (LOC)
Define Data objects, attributes & relationship. Data object: Representation of any collective information that must be understood by software. It can be any external entity.
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name some software in which incremental process are used or possible to use it?
What is Random Testing? This is one of process used to exercise a class. It is based on developing a random test series that tries the minimum number of operations typical to th
Differentiate between functional testing and structural testing. Functional testing also known as behavioural testing or Black box testing. In this methods, tester design te
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