Software cost estimation by analogy using feed forward neural network
D. Manikavelan, Ramalingam Ponnusamy · 2014
The software cost estimation is an important factor for making estimation in software Engineering. The general question that comes to our mind during cost estimation is how to make them accurate. This is a common area for failing the estimation like the customers not sharing their requirements clearly and swift the technologies with payable to open source, and efficiency (memory and execution time) etcetera. No method is necessarily better or worse than the other, in fact, their strengths and weaknesses are often complimentary to each other. Non-Algorithmatic cost estimation contains the method named analogy. It helps to compare the proposed project to similar projects from the past. In this paper feed forward neural algorithm is used in analogy to get accurate software cost estimation.