원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.4 No.1
2010.01
pp.67-74
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보