• 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