Software Cost Estimation – A Comparative Study of COCOMO-II and Bailey-Basili Models

Abstract

Software Cost Estimation (SCE) is a hot area of research in the field of development of software projects. Precise estimation of the efforts put on development of software projects, in term of person-month (PM) and development time, is an essential earlier startup of projects. There are several software cost estimation techniques, such as algorithmic and non-algorithmic. This study presents a comparison among two algorithmic methods, namely Baily-Based model and Constructive Cost Models (COCOMO-II). The simulation is conducted on Turkish and Nasa datasets. From the excremental results, it is evident that COCOMO-II is better than the Bailey-Basili in term of Mean Magnitude of Relative Error (MMRE)