Automatic Real-Time Mining Software Process Activities From SVN Logs Using a Naive Bayes Classifier

Automatic Real-Time Mining Software Process Activities From SVN Logs Using a Naive Bayes Classifier

The abundance of event data in current software configuration management systems makes it possible to discover software process models automatically by using actual observed behavior. However, traditional process mining algorithms cannot be applied to event logs recorded in software configuration ma...

Full description

Bibliographic Details
Main Authors: Rui Zhu, Yichao Dai, Tong Li, Zifei Ma, Ming Zheng, Yahui Tang, Jiayi Yuan, Yue Huang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Activity classifier
machine learning
software process activity
SVN log
Online Access:https://ieeexplore.ieee.org/document/8864026/

Internet

https://ieeexplore.ieee.org/document/8864026/

Similar Items