Published Paper Details:

The efforts are to be estimated before beginning with the development of software. This technique is known as effort estimation. Various models are proposed to measure the efforts accurately. The proposed work includes estimating the efforts of software using hybrid technique involved in previous models. COCOMO is constructive cost model and is considered as the most accurate model for effort estimation. In this work, a hybrid formula is used that depends upon the values of cost drivers. The generated result will estimate closer efforts than COCOMO. The tool used for the implementation is MATLAB. IVR dataset is being used after taking authentication from the website. This report presented effort estimation models, COCOMO, COCOMO 2, Bailey-Baisly model, Halstead, Bee Colony Optimization Algorithm and the proposed one. In this paper, there are 47 projects presented with defined values of cost drivers. The efforts of each model are being calculated and their MMRE is calculated. The result shows that the hybrid model is derived by using TLBO algorithm provides more accurate results than the other estimation models.