@inproceedings{e80c7fedebf84e44b32e4007ae27ac12,
title = "Software complexity measurement based on complex network",
abstract = "Usually the complexity metric of software focuses on the complexity of code level, function level or structure level separately. It lacks of measurement for the comprehensive complexity of software system. This paper proposes a complexity metric model of three-level cascade network that based on complex network theory. In this metric model, the complexity of code level, function level and structure level are measured and the cascaded relationship between the three levels are analyzed. At last, the three-level cascade network model is built and the comprehensive complexity of software system is measured though the three-level cascade network model. The experiment result shows that the comprehensive complexity of the software system is correlated positively to the number of software defects.",
keywords = "cascade network, complex network, defect prediction, software complexity, software metric",
author = "Li Hanyan and Wang Shihai and Liu Bin and Xiao Peng",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017 ; Conference date: 24-11-2017 Through 26-11-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICSESS.2017.8342910",
language = "英语",
series = "Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS",
publisher = "IEEE Computer Society",
pages = "262--265",
editor = "Li Wenzheng and Babu, \{M. Surendra Prasad\} and Lei Xiaohui",
booktitle = "ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science",
address = "美国",
}