Nov 17, 2018 · In this paper, we conduct an extensive empirical study of transferring and aggregating reusable models across projects in the context of issue ...

In this paper, we conduct an extensive empirical study of transferring and aggregating reusable models across projects in the context of issue classification, ...

Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World ... Authors: Yarong Zeng; Yue Yu; Qiang Fan; Xunhui Zhang; Tao Wang; Gang ...

Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia ...

The results show that our cross-project approach based on ensemble modeling can obtain great performance, which comparable to the within-project classification ...

Bibliographic details on Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World.

4 days ago · The efficacy of the model was evaluated using accuracy and F1 score metrics on multiple project datasets sourced from the PROMISE repository.

Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World. ... Transferring Well-Trained Models for Cross-Project Issue ...

Ensemble Learning is a technique that involves grouping multiple ML algorithms to enhance model evaluation accuracy. In our experiment, we combined three ...

This paper uses an off-the-shelf neural network called RoBERTa and fine-tune it to classify the issue reports into their respective categories i.e. bug, ...