Evaluation of Convertibility Issues Between IFPUG and Cosmic Function Points
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 6
Abstract
Abstract: Software industry has matured with time, from small application of few lines of codes to software application of millions of lines of code. In the past few years, the concern of the industry regarding software size estimation has been the convertibility issue between the International Function Point User Group (IFPUG) and the COmmon Software Measurement International Consortium (COSMIC) in order to leverage their huge investment on the IFPUG. Since there is still no cost and effort estimation tool for COSMIC function points. IFPUG is one of the early estimation methods, however, with the introduction of a more scientific method like COSMIC which has a wider applicability than the IFPUG and both method using the same measuring unit and principle, the continued relevancy of the IFPUG is called to question. Due to similar underlining principle of the two methods and for organizations that have invested so much in the IFPUG not to lose all their investment because of migrating to using COSMIC, researchers have been trying to explore the possibility of converting the output of one method to the other. This paper reviews some of the popular conversion formulas that have been suggested so far to see a trend or how related, consistent and reliable the formulas could be. We estimate the function point of two case studies using the COSMIC and IFPUG. Then we insert our estimation result into the formulas to see how close or diverse the output will be in comparison with our calculation. The result varied widely and nothing conclusive can be said, though, two of the formulas give closer estimation range than others. We also highlight why COSMIC may be more desirable today than the IFPUG and presented the progress level on trying to establish a convertible relationship between the two methods.
Authors and Affiliations
Md. Forhad Rabbi , Shailendra Natraj, Olorisade Babatunde Kazeem
A Face Recognition Scheme Based On Principle Component Analysis and Wavelet Decomposition
Abstract: In this paper, a new face recognition system based on Wavelet transform (HWT) and Principal Component Analysis (PCA) is presented. The image face is preprocessed and detected. The Haar wavelet is used...
A Comprehensive and Comparative Study Of Maze-SolvingTechniques by Implementing Graph Theory
Abstract: This paper presents an efficient maze solving algorithm. IEEE has launched a competition named“Micro mouse” where an autonomous robot or mice solves an unknown maze. The mouse find its way from thestartin...
Smart Car Collision Avoidance System
Abstract: In this paper we demonstrate the potential usage of vehicle to vehicle communication(V2V) to reduce the number of road accidents caused due to over taking of vehicles. The system will operate by transferring da...
A Survey on Privacy Preserving Data Mining Techniques
Abstract: Data mining is the extraction of the important patterns or information from large amount of data, which is used for decision making in future work. But the process of data collection and data dissemination may...
Efficient Weather Prediction By Back-Propagation Algorithm
Abstract: Artificial Neural Networks (ANNs) have been applied extensively to both regress and classify weather phenomena. While one of the core strengths of neural networks is rendering accurate predictions with...