Justin Murphy, Elias T. Brady, Md. Shazibul Islam Shamim, A. Rahman
{"title":"A curated dataset of security defects in scientific software projects","authors":"Justin Murphy, Elias T. Brady, Md. Shazibul Islam Shamim, A. Rahman","doi":"10.1145/3384217.3384218","DOIUrl":null,"url":null,"abstract":"Scientific software is defined as software that is used to explore and analyze data to investigate unanswered research questions in the scientific community [6]. The domain of scientific software includes software needed to construct a research pipeline such as software for simulation and data analysis, large-scale dataset management, and mathematical libraries [4]. Programming languages such as Julia [1] are used to develop scientific software efficiently and achieve desired program execution time. Julia was used in Celeste1, a software used in astronomy research. Celeste was used to load 178 terabytes of astronomical image data to produce a catalog of 188 million astronomical objects in 14.6 minutes2. The Celeste-related example provides anecdotal evidence on the value of studying Julia-related projects from a cybersecurity perspective.","PeriodicalId":205173,"journal":{"name":"Proceedings of the 7th Symposium on Hot Topics in the Science of Security","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th Symposium on Hot Topics in the Science of Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3384217.3384218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Scientific software is defined as software that is used to explore and analyze data to investigate unanswered research questions in the scientific community [6]. The domain of scientific software includes software needed to construct a research pipeline such as software for simulation and data analysis, large-scale dataset management, and mathematical libraries [4]. Programming languages such as Julia [1] are used to develop scientific software efficiently and achieve desired program execution time. Julia was used in Celeste1, a software used in astronomy research. Celeste was used to load 178 terabytes of astronomical image data to produce a catalog of 188 million astronomical objects in 14.6 minutes2. The Celeste-related example provides anecdotal evidence on the value of studying Julia-related projects from a cybersecurity perspective.
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