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A Survey of Automatic Software Vulnerability Detection, Program Repair, and Defect Prediction Techniques
Joint Authors
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-30
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
Open source software has been widely used in various industries due to its openness and flexibility, but it also brings potential software security problems.
Together with the large-scale increase in the number of software and the increase in complexity, the traditional manual methods to deal with these security issues are inefficient and cannot meet the current cyberspace security requirements.
Therefore, it is an important research topic for researchers in the field of software security to develop more intelligent technologies to apply to potential security issues in software.
The development of deep learning technology has brought new opportunities for the study of potential security issues in software, and researchers have successively proposed many automation methods.
In this paper, these automation technologies are evaluated and analysed in detail from three aspects: software vulnerability detection, software program repair, and software defect prediction.
At the same time, we point out some problems of these research methods, give corresponding solutions, and finally look forward to the application prospect of deep learning technology in automated software vulnerability detection, automated program repair, and automated defect prediction.
American Psychological Association (APA)
Shen, Zhidong& Chen, Si. 2020. A Survey of Automatic Software Vulnerability Detection, Program Repair, and Defect Prediction Techniques. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1208764
Modern Language Association (MLA)
Shen, Zhidong& Chen, Si. A Survey of Automatic Software Vulnerability Detection, Program Repair, and Defect Prediction Techniques. Security and Communication Networks No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1208764
American Medical Association (AMA)
Shen, Zhidong& Chen, Si. A Survey of Automatic Software Vulnerability Detection, Program Repair, and Defect Prediction Techniques. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1208764
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208764