@article{ART002596785},
author={Sung Ryong Do},
title={A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={6},
pages={119-129},
doi={10.9708/jksci.2020.25.06.119}
TY - JOUR
AU - Sung Ryong Do
TI - A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 6
PB - The Korean Society Of Computer And Information
SP - 119
EP - 129
SN - 1598-849X
AB - Software development activities are influenced by stochastic theory rather than deterministic one due to having process variability. Stochastic methods factor in the uncertainties associated with project activities and provides insight into the expected project outputs as probability distributions rather than as deterministic approximations. Thus, successful software projects systematically manage and balance five objectives based on historical probability: scope, size, cost, effort, schedule, and quality. Although software size estimation having much uncertainty in initial development has traditionally performed using deterministic methods: LOC(Lines Of Code), COCOMO(COnsructive COst MOdel), FP(Function Point), SLIM(Software LIfecycle Management). This research aims to present a function point method based on stochastic distribution and a case study based on Monte Carlo Simulation applying on an automotive electrical and electronics system software development. It is expected that the result of this paper is used as guidance for establishing of function point method in organizations and tools for helping project managers make decisions correctly.
KW - Function Point Method;Software Size Estimation;Monte Carlo Simulation;Quantitative Management;Stochastic Distribution
DO - 10.9708/jksci.2020.25.06.119
ER -
Sung Ryong Do. (2020). A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development. Journal of The Korea Society of Computer and Information, 25(6), 119-129.
Sung Ryong Do. 2020, "A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development", Journal of The Korea Society of Computer and Information, vol.25, no.6 pp.119-129. Available from: doi:10.9708/jksci.2020.25.06.119
Sung Ryong Do "A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development" Journal of The Korea Society of Computer and Information 25.6 pp.119-129 (2020) : 119.
Sung Ryong Do. A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development. 2020; 25(6), 119-129. Available from: doi:10.9708/jksci.2020.25.06.119
Sung Ryong Do. "A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development" Journal of The Korea Society of Computer and Information 25, no.6 (2020) : 119-129.doi: 10.9708/jksci.2020.25.06.119
Sung Ryong Do. A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development. Journal of The Korea Society of Computer and Information, 25(6), 119-129. doi: 10.9708/jksci.2020.25.06.119
Sung Ryong Do. A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development. Journal of The Korea Society of Computer and Information. 2020; 25(6) 119-129. doi: 10.9708/jksci.2020.25.06.119
Sung Ryong Do. A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development. 2020; 25(6), 119-129. Available from: doi:10.9708/jksci.2020.25.06.119
Sung Ryong Do. "A Case Study on Function Point Method applying on Monte Carlo Simulation in Automotive Software Development" Journal of The Korea Society of Computer and Information 25, no.6 (2020) : 119-129.doi: 10.9708/jksci.2020.25.06.119
