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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.
Describe in short about software testing ?
List the important properties of a modular system. Desirable properties are:- Every module is a well defined subsystem useful to others Every module has a well defined single
Write the Process classification. Informal No detailed process model. Development team chose their own way of working. Managed Explained process model wh
A consistent measure of software size based on user needs.
How do i create the automobile management system project?
Q. Explain Logarithmic Poisson Execution Time Model? This model is as well developed by Musa et Al (MUSA79). The breakdown intensity function is different here as compared to B
What does Modularity concept mean? Software architecture embodies modularity; i.e. Software is named in to addressable components called modules, which are integrated finally.
What is software testing? The testing process focuses on the logical internals of the software, ensuring that all statements have been tested, and on the functional externals,
Quality Assurance Quality assurance is an activity that establishes and evaluates the processes that produce products. Quality assurance would calculate processes to identify w
What are the elements of Analysis model? i. Data Dictionary ii. Data Flow Diagram iii. Entity Relationship Diagram iv. State Transition Diagram v. Process specifica
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