Software test data generation is an important part of software testing. This paper presents a multi-agent cooperation framework for software test data generation. The framework is constituted by Graph Miner, Method Selector and test data generation method agent group. Graph Miner extracts software information sequences from UML graphs, and sends them to Method Selector. Then Method Selector selects out relevant method agents to generate test data. This framework can solve the problems of test data generation methods extension and low level of intelligence exist in traditional methods. Based on the framework proposed in this paper, a software prototype is developed. It is proved that this framework is feasible.
목차
Abstract 1. Introduction 2. The Principles of the Framework 2.1 The Principles of the Framework 2.2The design of the framework 3. Test Input Information Extraction 3.1Test input information 3.2 The coverage criteria of UML diagrams 3.3Extraction of software test input information 4. Software test data generation 5 Case study 6. Conclusion References
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
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 Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.4 No.1