소프트웨어 프로젝트 의사결정 지원을 위한 몬테카를로 시뮬레이션의 활용

• 영문명: Applying Monte Carlo Simulation for Supporting Decision Makings in Software Projects
• 발행기관: 한국IT서비스학회
• 저자명: 한혁수(Hyuk-Soo Han) 김초이(Cho-Yi Kim)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제9권 제4호, 123~133쪽, 전체 11쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2010.12.30

영문 초록

There are many occasions on which the critical decisions should be made in software projects. Those decisions are basically related to estimating and predicting project parameters such as costs, efforts, and duration. The project managers are looking for methods to make better decisions. The decisions about project parameters are recommended to be performed based on historical data of similar projects. The measures of the tasks in past projects may have different shapes of distributions. we need to add those measures to get a predicted project measures. To add measures with different shapes of distribution, we need to use Monte Carlo simulation. In this paper, we suggest applying Monte Carlo simulation for supporting decision makings in software project. We implemented best-fit case and scheduling estimations with Cristal Ball, a commercial product of Monte Carlo simulation and showed how the suggested approach supports those critical decision makings.

목차

1. 서 론

2. 소프트웨어 프로젝트의 의사결정

3. 프로젝트 의사결정 지원을 위한 몬테카를로 시뮬레이션의 적용 프로세스

4. 몬테카를로 시뮬레이션 활용 예제

5. 결 론

키워드

SW Project Decision Montecarlo Simulation WBS PERT/CPM Optimization