2015 IEEE 5th Workshop on Mining Unstructured Data (MUD)最新文献

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Heuristic-based part-of-speech tagging of source code identifiers and comments 源代码标识符和注释的启发式词性标记
2015 IEEE 5th Workshop on Mining Unstructured Data (MUD) Pub Date : 2015-09-01 DOI: 10.1109/MUD.2015.7327960
Reem S. Alsuhaibani, Christian D. Newman, M. Collard, Jonathan I. Maletic
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引用次数: 16
SODA: the stack overflow dataset almanac SODA:堆栈溢出数据集年历
2015 IEEE 5th Workshop on Mining Unstructured Data (MUD) Pub Date : 2015-09-01 DOI: 10.1109/MUD.2015.7327961
Nicolas Latorre, Roberto Minelli, Andrea Mocci, Luca Ponzanelli, Michele Lanza
{"title":"SODA: the stack overflow dataset almanac","authors":"Nicolas Latorre, Roberto Minelli, Andrea Mocci, Luca Ponzanelli, Michele Lanza","doi":"10.1109/MUD.2015.7327961","DOIUrl":"https://doi.org/10.1109/MUD.2015.7327961","url":null,"abstract":"Stack Overflow has become a fundamental resource for developers, becoming the de facto Question and Answer (Q&A) website, and one of the standard unstructured data sources for software engineering research to mine knowledge about development. We present SODA, the Stack Overflow Dataset Almanac, a tool that helps researchers and developers to better understand the trends of discussion topics in Stack Overflow, based on the available tagging system. SODA provides an effective visualization to support the analysis of topics in different time intervals and frames, leveraging single or co-occurrent tags. We show, through simple usage scenarios, how SODA can be used to find interesting peculiar moments in the evolution of Stack Overflow discussions that closely match specific recent events in the area of software development. SODA is available at http://rio.inf.usi.ch/soda/.","PeriodicalId":392995,"journal":{"name":"2015 IEEE 5th Workshop on Mining Unstructured Data (MUD)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126298993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Matching machine-code functions in executables within one product line via bioinformatic sequence alignment 通过生物信息学序列比对来匹配一条产品线内可执行文件中的机器代码功能
2015 IEEE 5th Workshop on Mining Unstructured Data (MUD) Pub Date : 2015-09-01 DOI: 10.1109/MUD.2015.7327962
Arne Wichmann, S. Schupp
{"title":"Matching machine-code functions in executables within one product line via bioinformatic sequence alignment","authors":"Arne Wichmann, S. Schupp","doi":"10.1109/MUD.2015.7327962","DOIUrl":"https://doi.org/10.1109/MUD.2015.7327962","url":null,"abstract":"In this paper we evaluate whether different executables from the same software product line have similar sequences of machine-code functions. We provide a method of creating matchings of machine-code functions using alignment techniques known from bioinformatics. We map, per function, vectors of code metrics to symbols from an alphabet using machine learning techniques, and construct sequence alignments using off-the-shelf alignment tools. Our evaluation of alignments of glibc versions, musl optimizations, different RedBoot platforms and architectures, and the Linux kernel shows that the above statement holds in all cases except for differing architectures. Our method can therefore be used to match functions in executables for most variations within one product line.","PeriodicalId":392995,"journal":{"name":"2015 IEEE 5th Workshop on Mining Unstructured Data (MUD)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132176352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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