Software Test Data Generation Based on Multi-agent

Siwen Yu, Jun Ai, Yifu Zhang

Abstract: 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 exists in traditional methods. Based on the framework proposed in this paper, a software prototype is developed. It is proved that this framework is feasible.