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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.
What is data modelling? Data modeling is the basic step in the examine modeling. In data modeling the data objects are examined independently of processing. The data model s
umbrella activiti
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How do you differentiate the roles of Quality Assurance Manager and Project Manager? Quality Assurance Manager (QA Manager) produces the process to be followed at every phase
What is meant by software change? Software change is explained as the change in nature of software as the needs of software changes.
This is a explanation of whether or not certain processing conditions use many storage [memory] than estimated.
various software design methodologies
Q. What is Software requirement Specification (SRS)? Why is it important? List the characteristic of a good quality SRS? Ans: (SRS) Software Requirement Specification Documen
Question: (a) Explain, using an example, Norman's Seven Stages of Action. (b) You are working for a software development firm. You have been requested by your team leade
Sanity testing : - Sanity testing is used to make sure that multiple or conflicting functions or variables do not exist in the system. - It verifies that the components of th
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