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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.
Categories of software maintenance There are three categories of maintenance: i) Corrective Maintenance ii) Adaptive Maintenance iii) Perfective Maintenance
finds the c++ of resistance in series and parallel
Q. Explain COCOMO model with its applicable equations. Describe various attributes of cost drivers used in COCOMO model. Ans. COCOMO denotes for constructive cost model -
Define process maturity. In recent years there has been a important emphasis on process maturity. The Software Engineering Institute. (SEI) has developed a comprehensive model
QUESTION - RMI (a) Figure illustrates an RMI communication. Describe the role of each component in the RMI. (b) Explain the ter
Searching the Database: Searching the database and printing the results of a search are important features associated with CDS/ISIS package. The query formulation strategy pro
Illustrate parameterization in QTP. - Parameterization - Passing values from external source into script. - The number of values passed can be single or multiple. - It he
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Introduction The goal of the assignment is to build functionality on top of twitter that allows you to encrypt tweets to subgroups of your twitter Background Material R
desidn a complete flow chart diagram ,which ask the user to input the rate of diesel and quantity of diesel consumed.after calculate the total amount of diesel consumed and display
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