Merging of two Estimation Techniques will generate better results than single one

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Syeda Binish Zahra

Abstract

In last two decades different models and techniques was invented to solve the problem of estimation. But no one (inventor) gives guarantee that all estimation factors are resolve by his estimation technique. Each estimator tries to solve some factors of estimation. Now accuracy of estimation models depends on how many factors this model solve. My proposed approach of estimation is merger of two estimation techniques (Wideband Delphi and Case-Based Reasoning). My point is that when we merge two or more techniques, it will give us better results from previous ones. The above statement has been proved by my proposed estimation models and the conclusion table verifies my statement.


Keywords: Case-Based Reasoning (CBR), Function Point (FP)

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