The research, development and applications of software measurement have been carried out for more than forty years. Many researchers have done much in it, obtained lots of theoretical results, and developed a series of practical applications. At present, with the rapid development of object-oriented technology used in software theories and application, how to measure software in an effectively and scientifically way is becoming a hot and difficult issue. Class diagram as the most important UML model, its reasonable design has a remarkable effect on the ultimate system. This paper applies information entropy-based multi-attribute decision in UML class diagram metrics, providing a method to measure UML class diagram complexity weights. Its attributes out of information entropy and attributes’ weigh vectors can measure the complexity of object-oriented software effectively and scientifically. Besides, case analysis can prove this metric’s usability. The more precise experiment outcome has proved that the method is connected to human’s experience, and also can be applied to improve software quality.
목차
Abstract 1. Introduction 2. A method of measuring UML Class Diagram Complexity Weights 2.1. Measuring Complexity of UML Class Diagrams 2.2. Case Study 2.3. Comparative Analysis of The Experimental Results 3. Conclusion Acknowledgements References
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.8 No.6