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A state machine for detecting c/c++ memory faults

Huang, Guangyan, Zhang, Guangmei, Li, Xiaowei and Gong, Yunzhan 2005, A state machine for detecting c/c++ memory faults, in ATS'05: Proceedings of the 14th IEEE Asian Test Symposium, IEEE, Piscataway, N.J., pp. 1-6.


Title A state machine for detecting c/c++ memory faults
Author(s) Huang, GuangyanORCID iD for Huang, Guangyan orcid.org/0000-0002-1821-8644
Zhang, Guangmei
Li, Xiaowei
Gong, Yunzhan
Conference name Asian Test Symposium (14th ; 2005 : Kolkata, India)
Conference location Kolkata, India
Conference dates 17-21 Dec. 2005
Title of proceedings ATS'05: Proceedings of the 14th IEEE Asian Test Symposium
Publication date 2005
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Memory faults are major forms of software bugs that severely threaten system availability and security in c/c++ program. Many tools and techniques are available to check memory faults, but few provide systematic full-scale research and quantitative analysis. Furthermore, most of them produce high noise ratio of warning messages that require many human hours to review and eliminate false-positive alarms. And thus, they cannot locate the root causes of memory faults precisely. This paper provides an innovative state machine to check memory faults, which has three main contributions. Firstly, five concise formulas describing memory faults are given to make the mechanism of the state machine simple and flexible. Secondly, the state machine has the ability to locate the cause roots of the memory faults. Finally, a case study applying to an embedded software, which is written in 50 thousand lines of c codes, shows it can provide useful data to evaluate the reliability and quality of software.
ISBN 0769524818
Language eng
Field of Research 080309 Software Engineering
Socio Economic Objective 970108
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2005, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083677

Document type: Conference Paper
Collection: School of Information Technology
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