FATDOG:基于Hadoop的RESTful Web服务测试数据生成工具

Jing Liu, Wenjie Chen
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引用次数: 2

摘要

为了验证RESTful Web服务系统是否能够提供可用的服务,在大规模部署之前进行高效有效的功能测试是必不可少的,其中关键和第一步是自动生成有效的测试数据。本文开发了一种基于Hadoop的并行自动化测试数据生成工具,将突变测试和遗传算法相结合,生成可行有效的测试数据。实际测试实验结果表明,我们的测试数据生成工具对于RESTful Web服务应用的大规模测试场景具有较高的效率和实际适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FATDOG: Hadoop Based Test Data Generation Tool for RESTful Web Service
To validate whether RESTful Web service systemscould provide available services, it is indispensable to perform efficient and effective functional testing before their large-scale deployment, where the pivotal and first step is to automatically generate valid test data. In this paper, we develop a parallelized and automated test data generation tool based on the Hadoop, where mutation testing and genetic algorithm are utilized together to generate feasible and effective test data. Practical test experiment results show that our test data generation tool has better efficiency and actual applicability towards the large-scale testing scenarios for RESTful Web service applications.
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