Multivariate Copula Modeling with Application in Software Project Management and Information Systems
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 11
Abstract
This paper discusses application of copulas in software project management and information systems. Successful software projects depend on accurate estimation of software development schedule. In this research, three major risk factors and their impact on software development schedule are considered. Software development schedule is calculated by COCOMO-II model. Two models are simulated 100000 times, model-I considered dependence among risk factors by T-copula and model-II considered risk factors independent. The comparison of the two risk models revealed that model-II always underestimate the software development schedule while model-I evaluated the software schedule risk accurately. Therefore it is necessary for software development experts to consider dependence among various risk factors. R-package copula is employed to implement the algorithm for multivariate T-copula. Multiplier goodness-of-fit test shows that T-copula is good choice for characterization of dependence among three risk factors.
Authors and Affiliations
Syed Muhammad Aqil Burney, Osama Ajaz, Shamaila Burney
Keywords
Related Articles
- EP ID EP417663
- DOI 10.14569/IJACSA.2018.091144
- Views 73
- Downloads 0
The Risk Management Strategy of Applying Cloud Computing
It is inevitable that Cloud Computing will trigger off some loss exposures. Unfortunately, not much of scientific and objective researches had been focused on the identification and evaluation of loss exposures stemming...
Impact of Pulse Voltage as Desulfator to Improve Automotive Lead Acid Battery Capacity
This paper studies the impact of Pulse Voltage as Desulfator to recover weak automotive Lead Acid Battery capacity which is caused by Sulfation. This technique is used to overcome the premature loss of battery capacity a...
Intelligent Pedestrian Detection using Optical Flow and HOG
Pedestrian detection is an important aspect of autonomous vehicle driving as recognizing pedestrians helps in reducing accidents between the vehicles and the pedestrians. In literature, feature based approaches have been...
A Mixed Finite Element Method for Elasticity Problem
This paper describes a numerical solution for plane elasticity problem. It includes algorithms for discretization by mixed finite element methods. The discrete scheme allows the utilization of Brezzi - Douglas - Marini e...
GDPI: Signature based Deep Packet Inspection using GPUs
Deep Packet Inspection (DPI) is necessitated for many networked application systems in order to prevent from cyber threats. The signature based Network Intrusion and etection System (NIDS) works on packet inspection and...