Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

Research on Detection of Abnormal Software Code

Authors
Xufang Li
Corresponding Author
Xufang Li
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.21How to use a DOI?
Keywords
Code quality; Abnormal pattern; Anomaly detection; Null pointer dereference.
Abstract

The code structure of large-scale software is complex, so it is difficult to analyze and debug errors. Software code reliability has attracted wide attention. In order to improve the quality of the code, this paper summarizes the common abnormal patterns in large-scale software, and designs the framework for anomaly detection by using the commercial software Coverity to analyze linux-3.12. It is realized successfully to identify and detect the abnormal pattern of null pointer dereference. And through experimental verification, the results are more accurate, can be used in large-scale software.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
978-94-6252-464-4
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.21How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xufang Li
PY  - 2018/02
DA  - 2018/02
TI  - Research on Detection of Abnormal Software Code
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 123
EP  - 126
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.21
DO  - 10.2991/ifmeita-17.2018.21
ID  - Li2018/02
ER  -