A Comparative Study of Software Effort Estimation Using Fuzzy Logic Membership Function
Software development involves number of interrelated factors which has its effect on development and productivity of the software project. Software effort estimation is one of the important activities of software development. The precision and reliability of the effort estimation is very important for software industry because both overestimates and underestimates of the software effort are harmful to software companies. Main objective of this paper is to reduce the relative error rate and to improve the accuracy of the effort estimation by using the software effort estimation models. To estimate the effort for the software project, both algorithmic and Non-algorithmic models has been used. Results from the comparison of algorithmic COCOMO and non algorithmic Trapezoidal membership functions of fuzzy logic have been analysed.