Adelina Ciurumelea, Sebastiano Panichella, H. Gall
{"title":"Automated user reviews analyser","authors":"Adelina Ciurumelea, Sebastiano Panichella, H. Gall","doi":"10.1145/3183440.3194988","DOIUrl":null,"url":null,"abstract":"We present a novel tool, AUREA, that automatically classifies mobile app reviews, filters and facilitates their analysis using fine grained mobile specific topics. We aim to help developers analyse the direct and valuable feedback that users provide through their reviews, in order to better plan maintenance and evolution activities for their apps. Reviews are often difficult to analyse because of their unstructured textual nature and their frequency, moreover only a third of them are informative. We believe that by using our tool, developers can reduce the amount of time required to analyse and understand the issues users encounter and plan appropriate change tasks.","PeriodicalId":121436,"journal":{"name":"Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings","volume":"61 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3183440.3194988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
We present a novel tool, AUREA, that automatically classifies mobile app reviews, filters and facilitates their analysis using fine grained mobile specific topics. We aim to help developers analyse the direct and valuable feedback that users provide through their reviews, in order to better plan maintenance and evolution activities for their apps. Reviews are often difficult to analyse because of their unstructured textual nature and their frequency, moreover only a third of them are informative. We believe that by using our tool, developers can reduce the amount of time required to analyse and understand the issues users encounter and plan appropriate change tasks.