신경망 시스템 기반의 소프트웨어 개발노력 추정모델 구축에 관한 연구 = Software Development Effort Estimation Using Neural Network Model

다국어 초록 (Multilingual Abstract)

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 (Table of Contents)

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

참고문헌 (Reference)

1 "축약형 신경망과 휴리스틱 검색에 의한 소프트웨어 공수 예측모델" 8-D (8-D): 2001

2 "주성분분석을 이용한 소프트웨어 개발노력 추정능력 향상" 9-D (9-D): 75-80, 2002

3 "신경망을 이용한 소프트웨어개발노력 추정" 8-D (8-D): 241-246, 2001

4 "소프트웨어사업대가의 기준" 정보통신부 (2003-14) : 2003

5 "기능점수를 이용한 소프트웨어 개발노력 추정" 9-D (9-D): 603-612, 2002

6 "“Software-Effort Estimation：An Explolatory Study of Expert Performance”" 243-262, 1991

7 "“Examining the Feasibility of a Case-Based Reasoning Model for Software Effort Estimation”" 1992

8 "“Estimation of Information Systems Development Efforts”" 239-254, 1992

9 "in Programming Productivity：Issues for the Eighties" 1981

10 "in Proceedings of 1993 International Joint Conference on Neural Networks" 987-990, 1993

11 "Source Line of Code and Development Effort Prediction：A Software Science Validation”" 639-9 648, 1983

12 "Reliability of Functional Point Measurement-A Field Experiment” Communications of ACM" 1993

13 "RBF 망 이용 소프트웨어 개발노력 추정 성능향상" 8-D (8-D): 581-586, 2001

14 "Measuring Applications Development Productivity" 83-92, 1979

15 "Function Point Counting Practices Manual, Release 4.1" International Function Point Users Group (IFPUG) 1999