한국IT서비스학회:학술대회논문집
- 한국IT서비스학회 2005년도 추계학술대회
- /
- Pages.345-355
- /
- 2005
학습이론을 이용한 소프트웨어 개발비 예측 모형
Estimating software development cost using machine-learning approach
초록
As the portion of information systems(IS) budget to the total government budget becomes greater, the cost estimation of IS development and maintenance projects is recognized as one of the most important problems to be resolved for quantitative and efficient management of IS budget. The primary concern in the cost estimation of IS projects is to estimate software development cost. In this paper, we propose a new method to estimate software cost using support vector regression(SVR), which has attracted considerable attention because of its good performance and theoretical clearness. The paper is the first study which apply SVR to software cost estimation.
키워드