{"title":"Identifying Developers by Their Application Usage","authors":"Ihar Shulhan","doi":"10.1109/ICSE-Companion.2019.00070","DOIUrl":null,"url":null,"abstract":"In this paper we propose and evaluate a method based on recurrent neural networks to identify users by their application usage. The method was tested on the data collected by non-invasive metrics collection system developed at Innopolis University. The first results achieved on initial dataset show a high user identification accuracy and a potential for further research.","PeriodicalId":273100,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE-Companion.2019.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we propose and evaluate a method based on recurrent neural networks to identify users by their application usage. The method was tested on the data collected by non-invasive metrics collection system developed at Innopolis University. The first results achieved on initial dataset show a high user identification accuracy and a potential for further research.