Research on Detection of Abnormal Software Code

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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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  -