文章基本信息

标题：Software Test Data Generation Based On Multi-Agent Copyright -->
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作者：Siwen Yu ; Jun Ai
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2010
卷号：4
期号：1
出版社：SERSC
摘要：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.
关键词：Agent；software test data；UML.