International Journal of Advances in Engineering & Scientific Research

International Journal of Advances in Engineering & Scientific Research

Print ISSN : 2349 –4824

Online ISSN : 2349 –3607

Frequency : Continuous

Current Issue : Volume 3 , Issue 3
2016

ANALYSIS OF SOFTWARE COST ESTIMATION BASED ON THREE LAYERS OF METRICS

*Zahid Ahsan, **Saoud Sarwar

*M.Tech scholar Al-Falah University, Dhauj,  Faridabad, Haryana,    **(HoD, Deparment of computer science & Engineering,Alfalah University Dhauj Faridabaad)

DOI : Page No : 65-84

Published Online : 2016-07-30

Download Full Article : PDF Check for Updates


Abstract:

Software development effort estimation is the process of forecasting the software effort to         estimate software costs of both development and maintenance. Such estimates may be  to analyze project investment. Software researchers and practitioners have provided effort estimation for several decades. Most of them focused on the construction  of formal software effort estimation models, such as Putnam’s SLIM, COOMO 81, COOMO II, COCOTS, Kemerer and Albrecht-Gaffney, that can be applied to measure on different project scales (small, medium, and large). We employed five software projects ranging from small (less than 10,000 SLOC)to medium (10,000 – 100,000 SLOC) scale for estimating software effort by means of the aforementioned estimation models. Conventional and object-oriented metrics were used to determine the relationship among metrics, efforts, and project size. All the above Models are based on Two layer Architecture of Software Cost Estimation.

“The single most important task of a project: setting realistic expectations.”

The New Enhanced Three layer Architecture of Software Cost Estimation is to tune the parameters of the COstructive Cost MOdel (COCOMO) and Function point method which is mostly used in corpoarte for estimation of Cost and Schedule.

Key Word: Product Attributes”, “Hardware Attributes”, “Personnel Attributes”, “Project Attributes

Int. J. of Adv. in Engg. & Sci. Res.