The success of a project depends on accurate effort estimations, managers are always under pressure to prepare accurate effort estimations, in COCOMO model to estimate the effort it requires project parameters. Identification of the type of the project and choosing the project parameters are very important aspect, accurate project parameters generation and estimations are coming from mature organizations others owing to lack of history databases. Estimations are based on lines of code (size of the project), functionality of the project. If the project estimations are based on size of the project the Constructive Cost Model plays vital role. This work explains an expert system that integrates conventional and Soft Computing techniques for dealing uncertainty i.e. virtual nodes generated in the decision paths at leaf node level and we will create an additional node, the main objective of the paper is how to generate suitable values for these nodes. For this purpose we propose the method to generate project parameters using fuzzy logic. In this work solid line indicates the project already done; dotted line indicates the project with uncertainties. After the project parameters are generated using Fuzzy Logic then effort estimations can be prepared.