Power Grid Software Cost Estimation Based on Improved COCOMO Model
Xiang Yuan, Jie Su, Chutian Yu, Shaojie Ye · 2023
This paper introduces a power grid cost estimation system which can be used to purchase and price power grid software. First, a two-stage cost estimation model framework is introduced. The framework uses an improved COCOMO II model to estimate the total development effort. A Bayesian network model is used to estimate the total development cost. The model parameters of Bayesian network are defined and calibrated by taking the grid project as an example. A cost estimation system based on B/S structure is developed. Finally, the semi-detached maintenance schedule estimation formula and maintenance schedule curve are given. Experimental results show that this method can get a narrower interval with the same hit rate.