A Probabilistic Neural Network-Based Approach for Related Software Changes Detection

@article{Huang2014APN,
  title={A Probabilistic Neural Network-Based Approach for Related Software Changes Detection},
  author={Yuan Huang and Xiangping Chen and Qiwen Zou and Xiaonan Luo},
  journal={2014 21st Asia-Pacific Software Engineering Conference},
  year={2014},
  volume={1},
  pages={279-286}
}
Current softwares are continuously updating. The change between two versions usually involves multiple program entities (e.g., Class, method, attribute) with multiple purposes (e.g., Changed requirements, bug fixing). It's hard for developers to understand which changes are made for the same purpose. However, whether two changes are related is not decided by the relationship between this two entities in the program. In this paper, we summarize 4 coupling rules (16 instances) and 4 co-changed… CONTINUE READING

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