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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 group process for generating original and diverse ideas.
I want to know that what are the activities, roles,artifacts and goals do a planning phase of SQE encempass? How can we prepare sqa plan for any project?
Software restructuring Software restructuring changes source code and / or data an effort to make it amenable to future changes. In general, restructuring does not change the o
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What are the types of metrics? Direct metrics - It refers to immediately measurable attributes. Example -Execution speed, Lines of code. Indirect metrics - It refers to the
What are the Problems in comes in SRS There are numerous features which make requirements analysis difficult. These are explained below: 1. Complete requirements are diffic
Describe how the goals of quality control (QC) flexible manufacturing systems (FMS), design for assembly (DFA)and low overall costs can be best combined by computer integrated manu
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A test method satisfying coverage criteria that needs each decision point at every possible branch to be implemented at least once.
Q. Assuming the Putnam model and given S = 100,000 C = 5000 and D 0 = 15 calculate the development time t d. Ans: In Putnam model (S/C ) 3 = D 0 t d 7 lhs = 20
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