신경망 시스템 기반의 소프트웨어 개발노력 추정모델 구축에 관한 연구

• 영문명: Software Development Effort Estimation Using Neural Network Model
• 발행기관: 한국IT서비스학회
• 저자명: 백승익(Seung Ik Baek) 김병관(Byung Gwan Kim)
• 간행물 정보: 『한국IT서비스학회지』한국SI학회지 제5권 제1호, 97~109쪽, 전체 13쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2006.05.01

영문 초록

  As software becomes more complex and its scope dramatically increases, the importance of research on developing methods for estimating software development efforts has been increased. Such accurate estimation has a prominent impact on the development projects. To develop accurate effort estimation models, many studies have been conducted among the academia and the practitioners. Out of the numerous methods, Constructive Cost Model (COCOMO) based on Line of Code (LOC), Regression Model based on Function Point (FP) were the most popular models in the past. As today"s development environments are dynamically changing, these traditional methods do not work anymore. There is an impending need to develop an accurate estimation model which accommodates itself to the new environments. As a possible solution, this research proposes and evaluates an software development estimation model based on function points and neural networks.

목차

Abstract
1. 서론
2. 기존의 소프트웨어 개발노력 추정 모델
3. 연구방법
4. 결론
참고문헌
저자소개

키워드

LOC COCOMO Function Point Neural Networks Effort Estimation