TY - GEN
T1 - Collecting software defect data automatically from web site of open-source software
AU - Pei, Hanyu
AU - Ai, Jun
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/5/13
Y1 - 2014/5/13
N2 - With the rapid development of software engineering, it is of great significance to improve the reliability of software. Only by comprehending the defects deeply can the reliability of software improve. Comprehending the defects needs a great many of software defect samples. Open-source software emerges in large numbers in recent years, and they accumulate a huge amount of information associated with software defects, which provide valuable data for the research of software defect. Therefore, an approach of extracting open-source software defect data is proposed in this research, in which the defect information and defect samples are contained. First of all, the open-source software information is obtained through the Github. Then the research of defect data extraction method based on SVM is conducted which can identify defect from obtained information. Finally, a database is established, in which the open-source software defect samples and associated information are managed. The experiment results show that the method proposed in this paper is effective and feasible.
AB - With the rapid development of software engineering, it is of great significance to improve the reliability of software. Only by comprehending the defects deeply can the reliability of software improve. Comprehending the defects needs a great many of software defect samples. Open-source software emerges in large numbers in recent years, and they accumulate a huge amount of information associated with software defects, which provide valuable data for the research of software defect. Therefore, an approach of extracting open-source software defect data is proposed in this research, in which the defect information and defect samples are contained. First of all, the open-source software information is obtained through the Github. Then the research of defect data extraction method based on SVM is conducted which can identify defect from obtained information. Finally, a database is established, in which the open-source software defect samples and associated information are managed. The experiment results show that the method proposed in this paper is effective and feasible.
KW - Defect extraction
KW - Defect identification
KW - Open-source software
KW - Software defect database
UR - https://www.scopus.com/pages/publications/84983200563
U2 - 10.1109/ICRMS.2014.7107198
DO - 10.1109/ICRMS.2014.7107198
M3 - 会议稿件
AN - SCOPUS:84983200563
T3 - ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life
SP - 333
EP - 337
BT - ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety
A2 - En, Yunfei
A2 - Ji, Chunyang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 10th International Conference on Reliability, Maintainability and Safety, ICRMS 2014
Y2 - 6 August 2014 through 8 August 2014
ER -