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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.
Fan in/Fan-out :- Fan-in is a measure of the number of process or functions that call some other function or process (say X). Fan-out is the number of functions that are known
Communicational cohesion : Communicational cohesion is when parts of a module are grouped because they operate on the similar data (e.g. a module which operates on the similar reco
QUESTION - RMI (a) Figure illustrates an RMI communication. Describe the role of each component in the RMI. (b) Explain the ter
box diagram with example
Define the concept of SRS An SRS clearly defines following: • External Interfaces of the system: They identify information which is to flow 'from and to' to the system.
Explain a variable? "Variables" are data items in a program whose values can change.
How can recovery scenario manager be used to handle exceptions in QTP? QTP provides a wizard through Recovery Scenario Manger which can recover unexpected errors and events wh
What is continuous CMMI MODEL? This is a finer-grain model that considers individual or groups of practices and assesses their use. The maturity assessment is not a one valu
what is the advantage of Iterative Enhancement Model in developing a system?
Maintain you are involved in a large project concerning the development of a patient management system for a hospital. You may opt for one of two plans. The first plan is to start
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