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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.
A manifestation of an error in software. A fault, if encountered, might cause a failure.
What is cardinality in data modeling? Cardinality in data modeling, cardinality specifies how the number of occurrences of single object is related to the number of occurrences
A document reporting on any event that happens during testing that needs further investigation.
What is meant by System Requirements Set out the system constraints and services in well explained. Serves as a contract among the system buyer & the system developer.
Following is the description of all data member and member functions of respective classes: ? Data members for PropertyCategories: o SocietyName: This data member will be used
Explain an error checklist for inspection in detail.
Explain why waterfall model is more advantageous than adhoc methods. Ad-hoc Process Models- "Process capability is unpredictable due to the software process is constantly
Q. Define External coupling? External coupling: A form of coupling in that a module has a dependency to other module external to the software being developed or to a particul
CMM = 'Capability Maturity Model', now known as the CMMI ('Capability Maturity Model Integration'), developed by the SEI. It's a model of five levels of process 'maturity' that ver
What does modality in data modeling indicates? Modality shows whether or not a particular data object must participate in the relationship.
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