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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.
Determine in detail about Waterfall model Waterfall model provides a sequential and systematic approach to software development and is better than build and fix approach. Howev
design steps
What does data modelling means? Data modelling is the first step in the analysis modelling. In data modelling the data objects are checked independently of processing. The data
System Development Life Cycle (SDLC) stages are sometimes known as System Study. System concepts which are important in developing business information systems expedite problem sol
What are the characteristics of Software? Software is engineered or modified; it is not manufactured in the traditional sense. Software is free of wear out. Though the
how to write data dictionary for course management system
Q. For the structural chart given in fig.1 calculate the Information Flow index of individual modules as well as whole software. Total information flow = IF (main) + IF (A
What are the common activities in design process? i. System structuring - The system is subdivided into principle subsystems components and communications among these subsystem
Determine the process of Software Review - This is an evaluation technique which involves bringing together a group of technical personnel to analyze a software artifact to im
Question 1: We have a small system with a call graph as given below. Consider that each vertex is a module. All modules are new (i.e., n = n0) Also consider that the number of
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