Abstract
This research work evaluates the performance of Re-UCP model and compares the results with the UCP and e-UCP method of software effort estimation. In this research work, an attempt has been made to highlight the accuracy of results by using MRE (Magnitude of Relative Error), MMRE (Mean Magnitude Relative Error), MdMRE (Median of Magnitude Relative Error) tools to check the error rate and PRED (20) and PRED (10) method to find out the predictability of accuracy of Re-UCP software effort estimation method. The observations made from the results are based on the comparison of Re-UCP, e-UCP and UCP models of software effort estimation.
Highlights
Accurate software effort estimates are critical for better software project management in the software industry where the stress of getting better is usually very high on demand
This research work is an effort to evaluate the results of the proposes effort estimation model inspired from the fundamentals of UCP, iUCP and Extended Use Case Point Method (e-UCP) in order to estimate efforts which can show improved inclination in its behaviour and higher degree of acceptance with adaptability to improve the significance of its worth
In most of the cases across all projects from P1 to P14 there is lesser deviation either positive or negative calculated using Revised Use Case Point Method (Re-UCP) software effort estimation methods when compared to UCP and e-UCP method of effort estimation
Summary
Accurate software effort estimates are critical for better software project management in the software industry where the stress of getting better is usually very high on demand. The main aim of this research work is to evaluate the impact of modifications made to revised use-case-point method of software effort estimation. Wahid work is an effort to validate revised use-case point model by using 14 software projects in order to estimate efforts which can show improved inclination in its behaviour and higher degree of acceptance with adaptability to improve the significance of its worth. This research work is an effort to evaluate the results of the proposes effort estimation model inspired from the fundamentals of UCP, iUCP and e-UCP in order to estimate efforts which can show improved inclination in its behaviour and higher degree of acceptance with adaptability to improve the significance of its worth. The results of the newly designed model named as Re-UCP after comparing with the existing UCP and e-UCP are validated using MRE (Magnitude of Relative Error), MMRE (Mean Magnitude Relative Error) [13]-[15] and by measuring predictability using PRED (20) and PRED (10)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
