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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.
Identify the type of cohesion in the following statements: 1. Compute average daily temperatures at various sites 2. Initialize sums and open files 3. Create new temperature recor
Explain about rapid prototyping techniques. Used to animate the system specification. It is expressed in a formal, mathematical language to provide a system prototype
Go to Blackboard, and print the project scenariolocated under the Project folder. Using Visio, draw a Physical DFD ofall three business processes described in theproject scenario.
1) Case Analysis (maximum of 6 pages per case, double spaced) The following format may be used as a guideline for Case Analysis: Key Issues Identified in Case Sta
what resources are used when a thread is created ?
Explain the reuse maintenance model with the help of a diagram. Reuse maintenance model: This model is based on the principal that maintenance could be viewed as an activity i
Explain Horizontal partitioning 1. Explains separate branches of the. 2. Propagaton of fewer side-effects 3. Software is simpler to maintain
What are the reasons behind to perform white box testing? There are three main reasons behind performing the white box testing. 1. Programmers may have some incorrect assum
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Explain in detail about data modeling Data modeling creates use of the ERD. Having of 3 interrelated information. The data object. Relationships. Attributes
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