ISCAS OpenIR
基于锁信息的多线程软件原子性错误检测方法
Alternative TitleATOMICITY VIOLATIONS DETECTION METHOD FOR MULTI-THREADED SOFTWARE BASED ON LOCK INFORMATION
王云飞; 刘剑; 马越
2014
Source计算机应用与软件
ISSN1000-386X
Volume31Issue:6Pages:1-4,94
English Abstract原子性错误是多线程软件开发中常见的并发错误之一.传统的静态分析方法存在误报的可能,动态方法由于利用的信息过少而存在运行效率低下的问题.针对以上问题,设计以动态方法为基础通过计算锁信息,根据锁信息判断是否可能发生原子性错误的方法,据此减少程序的回溯次数和运行时间.通过对一系列开源程序的测试,实验数据证明此方法可以大大提高原子性错误检测的效率.
Indexed TypeCSCD
AbstractAtomicity violation is one of common concurrency bugs in multi-threaded software development. Traditional static analysis means has the possibility of false alarm,and the dynamic means has the problem of low running efficiency due to too little information to be used. In light of the above problems,we design a new algorithm,it is based on dynamic method,and discriminates by calculating the lock information and according to this information whether or not the atomicity violations would possibly occur, and reduce the backtracking numbers and running times of the program based on it. Through the tests on a series of open source programs,the experimental data proves that this method can greatly improve the efficiency of atomicity violation detection.
Keyword多线程软件 原子性错误 锁信息 模型检测 动态优化 Multi-threaded Program Atomicity Violation Lock Information Model Checking Dynamic Optimisation
Department中国科学院软件研究所 北京100190
Language中文
CSCD IDCSCD:5157204
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16740
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
王云飞,刘剑,马越. 基于锁信息的多线程软件原子性错误检测方法[J]. 计算机应用与软件,2014,31(6):1-4,94.
APA 王云飞,刘剑,&马越.(2014).基于锁信息的多线程软件原子性错误检测方法.计算机应用与软件,31(6),1-4,94.
MLA 王云飞,et al."基于锁信息的多线程软件原子性错误检测方法".计算机应用与软件 31.6(2014):1-4,94.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[王云飞]'s Articles
[刘剑]'s Articles
[马越]'s Articles
Baidu academic
Similar articles in Baidu academic
[王云飞]'s Articles
[刘剑]'s Articles
[马越]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[王云飞]'s Articles
[刘剑]'s Articles
[马越]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.