{"title":"DRACULA: Detector of Data Races in Signals Handlers","authors":"Takamitsu Tahara, K. Gondow, Seiya Ohsuga","doi":"10.1109/APSEC.2008.25","DOIUrl":null,"url":null,"abstract":"Data races can occur even in sequential programs due to asynchronous software interrupts (e.g., UNIX signals). In this paper, we propose and implement a new tool DRACULA that dynamically detects data races caused by UNIX signals. DRACULA has many positive characteristics like full-automation, no source code required, high scalability, and synchronization mechanism independence, which make DRACULA highly practical. Our preliminary evaluation of applying DRACULA on SPARC and IA32 platforms to Bash-3.0, consisting of around 89 KLOC in C code, produced promising results; the rates of false-positives are very low (2.6% and 7.0%) and DRACULA automatically reported 3 actual data races in Bash-3.0.","PeriodicalId":218839,"journal":{"name":"2008 15th Asia-Pacific Software Engineering Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 15th Asia-Pacific Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSEC.2008.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Data races can occur even in sequential programs due to asynchronous software interrupts (e.g., UNIX signals). In this paper, we propose and implement a new tool DRACULA that dynamically detects data races caused by UNIX signals. DRACULA has many positive characteristics like full-automation, no source code required, high scalability, and synchronization mechanism independence, which make DRACULA highly practical. Our preliminary evaluation of applying DRACULA on SPARC and IA32 platforms to Bash-3.0, consisting of around 89 KLOC in C code, produced promising results; the rates of false-positives are very low (2.6% and 7.0%) and DRACULA automatically reported 3 actual data races in Bash-3.0.