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基于距离挖掘的多变量原子性违例检测

胡敏 陈雨亭

计算机工程2012,Vol.38Issue(13):61-63,74,4.
计算机工程2012,Vol.38Issue(13):61-63,74,4.DOI:10.3969/j.issn.1000-3428.2012.13.017

基于距离挖掘的多变量原子性违例检测

Multi-variable Atomicity Violation Detection Based on Distance Mining

胡敏 1陈雨亭1

作者信息

  • 1. 上海交通大学软件学院,上海200240
  • 折叠

摘要

Abstract

This paper proposes a novel dynamic detection algorithm to detect multi-variable atomicity violation without consulting atomicity specification or annotation. It defines different dimensions of distances among shared memory, and uses the associated variable relationship to detect the atoms violation mistakes, then infers the correlations through them to get the atomic regions. Experimental results show that this algorithm can get the related variables, and test the procedure which involves atomic violations mistakes of multi-variable.

关键词

并发/相关性/多变量/共享变量/原子性/错误检测

Key words

concurrency/ correlation/ multi-variable/ shared variable/ atomicity/ mistake detection

分类

信息技术与安全科学

引用本文复制引用

胡敏,陈雨亭..基于距离挖掘的多变量原子性违例检测[J].计算机工程,2012,38(13):61-63,74,4.

基金项目

国家自然科学基金资助项目(60970009) (60970009)

计算机工程

OACSCDCSTPCD

1000-3428

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