{"title":"FATDOG:基于Hadoop的RESTful Web服务测试数据生成工具","authors":"Jing Liu, Wenjie Chen","doi":"10.1109/COMPSAC.2017.124","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6556,"journal":{"name":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","volume":"16 1","pages":"280-281"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"FATDOG: Hadoop Based Test Data Generation Tool for RESTful Web Service\",\"authors\":\"Jing Liu, Wenjie Chen\",\"doi\":\"10.1109/COMPSAC.2017.124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":6556,\"journal\":{\"name\":\"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)\",\"volume\":\"16 1\",\"pages\":\"280-281\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPSAC.2017.124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC.2017.124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.