{"title":"机器学习应用的测试工具","authors":"Yelin Liu, Yang Liu, T. Chen, Z. Zhou","doi":"10.1145/3387940.3392694","DOIUrl":null,"url":null,"abstract":"We present the design of MTKeras, a generic metamorphic testing framework for machine learning, and demonstrate its effectiveness through case studies in image classification and sentiment analysis.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Testing Tool for Machine Learning Applications\",\"authors\":\"Yelin Liu, Yang Liu, T. Chen, Z. Zhou\",\"doi\":\"10.1145/3387940.3392694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present the design of MTKeras, a generic metamorphic testing framework for machine learning, and demonstrate its effectiveness through case studies in image classification and sentiment analysis.\",\"PeriodicalId\":309659,\"journal\":{\"name\":\"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3387940.3392694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3387940.3392694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present the design of MTKeras, a generic metamorphic testing framework for machine learning, and demonstrate its effectiveness through case studies in image classification and sentiment analysis.
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