Static Code Analysis to Detect Software Security Vulnerabilities - Does Experience Matter?

被引：22
|
作者：
Baca, Dejan [1 ,2 ]
Petersen, Kai [1 ,2 ]
Carlsson, Bengt [2 ]
Lundberg, Lars [2 ]
机构：
[1] Ericsson AB, Box 518, SE-37123 Karlskrona, Sweden
[2] Blekinge Inst Technol, Sch Engn, Karlskrona, Sweden
来源：
2009 INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY, AND SECURITY (ARES), VOLS 1 AND 2 | 2009年
关键词：
D O I：
10.1109/ARES.2009.163
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Code reviews with static analysis tools are today recommended by several security development processes. Developers are expected to use the tools' output to detect the security threats they themselves have introduced in the source code. This approach assumes that all developers can correctly identify a warning from a static analysis tool (SAT) as a security threat that needs to be corrected. We have conducted an industry experiment with a state of the art static analysis tool and real vulnerabilities. We have found that average developers do not correctly identify the security warnings and only developers with specific experiences are better than chance in detecting the security vulnerabilities. Specific SAT experience more than doubled the number of correct answers and a combination of security experience and SAT experience almost tripled the number of correct security answers.
引用
收藏
页码：804 / +
页数：2
相关论文
共 50 条
  • [1] On the capability of static code analysis to detect security vulnerabilities
    Goseva-Popstojanova, Katerina
    Perhinschi, Andrei
    [J]. INFORMATION AND SOFTWARE TECHNOLOGY, 2015, 68 : 18 - 33
  • [2] Scalable Static Analysis to Detect Security Vulnerabilities: Challenges and Solutions
    Gauthier, Francois
    Keynes, Nathan
    Allen, Nicholas
    Corney, Diane
    Krishnan, Padmanabhan
    [J]. 2018 IEEE CYBERSECURITY DEVELOPMENT CONFERENCE (SECDEV 2018), 2018, : 134 - 134
  • [3] A survey of static code analysis methods for security vulnerabilities detection
    Kulenovic, Melina
    Donko, Dzenana
    [J]. 2014 37TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2014, : 1381 - 1386
  • [4] Machine Learning to Combine Static Analysis Alerts with Software Metrics to Detect Security Vulnerabilities: An Empirical Study
    Pereira, Jose D'Abruzzo
    Campos, Joao R.
    Vieira, Marco
    [J]. 2021 17TH EUROPEAN DEPENDABLE COMPUTING CONFERENCE (EDCC 2021), 2021, : 1 - 8
  • [5] The Use of NLP Techniques in Static Code Analysis to Detect Weaknesses and Vulnerabilities
    Mokhov, Serguei A.
    Paquet, Joey
    Debbabi, Mourad
    [J]. ADVANCES IN ARTIFICIAL INTELLIGENCE, CANADIAN AI 2014, 2014, 8436 : 326 - 332
  • [6] A survey of static analysis methods for identifying security vulnerabilities in software systems
    Pistoia, M.
    Chandra, S.
    Fink, S. J.
    Yahav, E.
    [J]. IBM SYSTEMS JOURNAL, 2007, 46 (02) : 265 - 288
  • [7] A Synergy between Static and Dynamic Analysis for the Detection of Software Security Vulnerabilities
    Hanna, Aiman
    Ling, Hai Zhou
    Yang, XiaoChun
    Debbabi, Mourad
    [J]. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2009, PT 2, 2009, 5871 : 815 - 832
  • [8] Static Code Analysis for Software Security Verification: Problems and Approaches
    Zhioua, Zeineb
    Short, Stuart
    Roudier, Yves
    [J]. 2014 38TH ANNUAL IEEE INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSACW 2014), 2014, : 102 - 109
  • [9] Evaluating the Cost Reduction of Static Code Analysis for Software Security
    Baca, Dejan
    Carlsson, Bengt
    Lundberg, Lars
    [J]. PLAS'08: PROCEEDINGS OF THE ACM SIGPLAN THIRD WORKSHOP ON PROGRAMMING LANGUAGES AND ANALYSIS FOR SECURITY, 2008, : 79 - 88
  • [10] Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities
    He, Jiaqi
    MacQueen, Revan
    Bombardieri, Natalie
    Ali, Karim
    Wright, James R.
    Cifuentes, Cristina
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION, ICSME, 2023, : 463 - 473
12345