Reduce mean magnitude relative error in software cost estimation by HOD-COCOMO algorithm
Rupali Jain, Vijay Kumar Sharma, Saroj Hiranwal · 2016
In software project management, software effort estimation is an important task. Software effort estimation will be helpful for finding the estimation of cost, duration of the project. In the recent time, many types of model are coming but among all, COCOMO model is widely used model. In past lots of Research have been done for correct and Accurate Effort Estimation. Many Algorithm has been applying for COCOMO model coefficient. In this paper, we are reducing the MMRE (Mean Magnitude Reactive Error) for Organic, Semi-Detached and Embedded model. We propose HOD-COCOMO (Human Opinion Dynamic-Constructive Cost Model) for reducing the MMRE for all three models Organic, Semi-Detached, and Embedded. In the Results, we are comparing the MMRE for proposed HOD-COCOMO along with COCOMO and BAT COCOMO. MMRE is getting reduced by HOD-COCOMO for Organic, Semi-Detached and Embedded model system as compared to COCOMO and BAT COCOMO.