Raúl A. Santelices, Yiji Zhang, Haipeng Cai, Siyuan Jiang
{"title":"dua取证:基于Soot的细粒度依赖性分析和检测框架","authors":"Raúl A. Santelices, Yiji Zhang, Haipeng Cai, Siyuan Jiang","doi":"10.1145/2487568.2487574","DOIUrl":null,"url":null,"abstract":"We describe DUA-Forensics, our open-source Java-bytecode program analysis and instrumentation system built on top of Soot. DUA-Forensics has been in development for more than six years and has supported multiple research projects on efficient monitoring, test-suite augmentation, fault localization, symbolic execution, and change-impact analysis. Three core features of Soot have proven essential: the Java bytecode processor, the Jimple intermediate representation, and the API to access and manipulate Jimple programs. On top of these foundations, DUA-Forensics offers a number of features of potential interest to the Java-analysis community, including (1) a layer that facilitates the instrumentation of Jimple code, (2) a library modeling system for efficient points-to, data-flow, and symbolic analysis, and (3) a fine-grained dependence analysis component. These features have made our own research more productive, reliable, and effective.","PeriodicalId":198433,"journal":{"name":"State Of the Art in Java Program Analysis","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"DUA-forensics: a fine-grained dependence analysis and instrumentation framework based on Soot\",\"authors\":\"Raúl A. Santelices, Yiji Zhang, Haipeng Cai, Siyuan Jiang\",\"doi\":\"10.1145/2487568.2487574\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe DUA-Forensics, our open-source Java-bytecode program analysis and instrumentation system built on top of Soot. DUA-Forensics has been in development for more than six years and has supported multiple research projects on efficient monitoring, test-suite augmentation, fault localization, symbolic execution, and change-impact analysis. Three core features of Soot have proven essential: the Java bytecode processor, the Jimple intermediate representation, and the API to access and manipulate Jimple programs. On top of these foundations, DUA-Forensics offers a number of features of potential interest to the Java-analysis community, including (1) a layer that facilitates the instrumentation of Jimple code, (2) a library modeling system for efficient points-to, data-flow, and symbolic analysis, and (3) a fine-grained dependence analysis component. These features have made our own research more productive, reliable, and effective.\",\"PeriodicalId\":198433,\"journal\":{\"name\":\"State Of the Art in Java Program Analysis\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"State Of the Art in Java Program Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2487568.2487574\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"State Of the Art in Java Program Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2487568.2487574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DUA-forensics: a fine-grained dependence analysis and instrumentation framework based on Soot
We describe DUA-Forensics, our open-source Java-bytecode program analysis and instrumentation system built on top of Soot. DUA-Forensics has been in development for more than six years and has supported multiple research projects on efficient monitoring, test-suite augmentation, fault localization, symbolic execution, and change-impact analysis. Three core features of Soot have proven essential: the Java bytecode processor, the Jimple intermediate representation, and the API to access and manipulate Jimple programs. On top of these foundations, DUA-Forensics offers a number of features of potential interest to the Java-analysis community, including (1) a layer that facilitates the instrumentation of Jimple code, (2) a library modeling system for efficient points-to, data-flow, and symbolic analysis, and (3) a fine-grained dependence analysis component. These features have made our own research more productive, reliable, and effective.