DocumentCode :
185656
Title :
A survey of static code analysis methods for security vulnerabilities detection
Author :
Kulenovic, Melina ; Donko, Dzenana
Author_Institution :
Fac. of Electr. Eng., Univ. of Sarajevo, Sarajevo, Bosnia-Herzegovina
fYear :
2014
fDate :
26-30 May 2014
Firstpage :
1381
Lastpage :
1386
Abstract :
Software security is becoming highly important for universal acceptance of applications for many kinds of transactions. Automated code analyzers can be utilized to detect security vulnerabilities during the development phase. This paper is aimed to provide a survey on Static code analysis and how it can be used to detect security vulnerabilities. The most recent findings and publications are summarized and presented in this paper. This paper provides an overview of the gains, flows and algorithms of static code analyzers. It can be considered a stepping stone for further research in this domain.
Keywords :
program diagnostics; security of data; software engineering; development phase; software security vulnerabilities detection; static code analysis methods; Access control; Analytical models; Java; Privacy; Software; security; static code analysis; survey; vulnerability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on
Conference_Location :
Opatija
Print_ISBN :
978-953-233-081-6
Type :
conf
DOI :
10.1109/MIPRO.2014.6859783
Filename :
6859783
Link To Document :
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