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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.
Define process maturity in short?
Question 1: a) Describe the various activities and or processes related to the development of Information systems. b) Using a diagram, show the several development processes
Q. Need of Output comparators? Output comparators These are used in dynamic testing-both single-module and multiple-module (system level) varieties to check that predicted an
What is Quality assurance and standards? Standards are the key to efficient quality management. They may be international, national, and organizational or project standards.
Explain the prototyping approaches in software process. Two approaches i. Evolutionary prototyping - In this approach of system development, the initial prototype is prepare
Information engineering is a system engineering approach which is used to describe architectures which enable a business to use data professionally. The intent of information eng
Throw-away prototyping Objective: The principal objective of this model is to validate or to derive the system needs. It is developed to decrease requirement risks.
testing
Q. Disadvantage of lines of code? 1. Lack of Accountability: Lines of code measure suffers from some fundamental problems. A few think it isn't useful to measure the productivi
Explain in detail about the real time systems. Hard and soft real time systems. Real time and high performance. Real-Time control. Real time software design P
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