{"title":"Android:一个可扩展的流、上下文、对象、字段和路径敏感的静态分析框架","authors":"Linjie Pan, Baoquan Cui, Jiwei Yan, Xutong Ma, Jun Yan, Jian Zhang","doi":"10.1145/3293882.3339001","DOIUrl":null,"url":null,"abstract":"Static analysis is widely used to detect potential defects in apps. Existing analysis tools focus on specific problems and vary in supported sensitivity, which make them difficult to reuse and extend for new analysis tasks. This paper presents Androlic, a precise static analysis framework for Android which is flow, context, object, field and path-sensitive. Through configuration items and APIs provided by Androlic, developers can easily extend it to perform custom analysis tasks. Evaluation on an example program and 20 real-world apps show that Androlic can analyze apps with high precision and efficiency.","PeriodicalId":20624,"journal":{"name":"Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis","volume":"357 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Androlic: an extensible flow, context, object, field, and path-sensitive static analysis framework for Android\",\"authors\":\"Linjie Pan, Baoquan Cui, Jiwei Yan, Xutong Ma, Jun Yan, Jian Zhang\",\"doi\":\"10.1145/3293882.3339001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Static analysis is widely used to detect potential defects in apps. Existing analysis tools focus on specific problems and vary in supported sensitivity, which make them difficult to reuse and extend for new analysis tasks. This paper presents Androlic, a precise static analysis framework for Android which is flow, context, object, field and path-sensitive. Through configuration items and APIs provided by Androlic, developers can easily extend it to perform custom analysis tasks. Evaluation on an example program and 20 real-world apps show that Androlic can analyze apps with high precision and efficiency.\",\"PeriodicalId\":20624,\"journal\":{\"name\":\"Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis\",\"volume\":\"357 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3293882.3339001\",\"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 28th ACM SIGSOFT International Symposium on Software Testing and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3293882.3339001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Androlic: an extensible flow, context, object, field, and path-sensitive static analysis framework for Android
Static analysis is widely used to detect potential defects in apps. Existing analysis tools focus on specific problems and vary in supported sensitivity, which make them difficult to reuse and extend for new analysis tasks. This paper presents Androlic, a precise static analysis framework for Android which is flow, context, object, field and path-sensitive. Through configuration items and APIs provided by Androlic, developers can easily extend it to perform custom analysis tasks. Evaluation on an example program and 20 real-world apps show that Androlic can analyze apps with high precision and efficiency.