{"title":"Bugine","authors":"Ziqiang Li, Shin Hwei Tan","doi":"10.1145/3377812.3390906","DOIUrl":null,"url":null,"abstract":"Many automated test generation tools were proposed for finding bugs in Android apps. However, a recent study revealed that developers prefer reading automated test generation cased written in natural language. We present Bugine, a new bug recommendation system that automatically selects relevant bug reports from other applications that have similar bugs. Bugine (1) searches for GitHub issues that mentioned common UI components shared between the app under test and the apps in our database, and (2) ranks the quality and relevance of issues. Our results show that Bugine could find 34 new bugs in five evaluated apps.","PeriodicalId":421517,"journal":{"name":"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Bugine\",\"authors\":\"Ziqiang Li, Shin Hwei Tan\",\"doi\":\"10.1145/3377812.3390906\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many automated test generation tools were proposed for finding bugs in Android apps. However, a recent study revealed that developers prefer reading automated test generation cased written in natural language. We present Bugine, a new bug recommendation system that automatically selects relevant bug reports from other applications that have similar bugs. Bugine (1) searches for GitHub issues that mentioned common UI components shared between the app under test and the apps in our database, and (2) ranks the quality and relevance of issues. Our results show that Bugine could find 34 new bugs in five evaluated apps.\",\"PeriodicalId\":421517,\"journal\":{\"name\":\"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3377812.3390906\",\"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 ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3377812.3390906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Many automated test generation tools were proposed for finding bugs in Android apps. However, a recent study revealed that developers prefer reading automated test generation cased written in natural language. We present Bugine, a new bug recommendation system that automatically selects relevant bug reports from other applications that have similar bugs. Bugine (1) searches for GitHub issues that mentioned common UI components shared between the app under test and the apps in our database, and (2) ranks the quality and relevance of issues. Our results show that Bugine could find 34 new bugs in five evaluated apps.
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