Multivariate Copula Modeling with Application in Software Project Management and Information Systems

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.

@article{Burney2018,
  title     = {Multivariate Copula Modeling with Application in Software Project Management and Information Systems},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {11},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Syed Muhammad Aqil Burney and Osama Ajaz and Shamaila Burney},
  doi       = {10.14569/IJACSA.2018.091144},
  url       = {https://doi.org/10.14569/IJACSA.2018.091144}
}