An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits

no code implementations • 1 Nov 2022 • Maliheh Izadi, Pooya Rostami Mazrae, Tom Mens, Arie van Deursen

However, these approaches primarily focused on improving prediction accuracy on randomly-split datasets, with limited attention given to the impact of data leakage and the generalizability of the predictive models.

Link Prediction Transfer Learning

Automated Recovery of Issue-Commit Links Leveraging Both Textual and Non-textual Data

1 code implementation • 5 Jul 2021 • Pooya Rostami Mazrae, Maliheh Izadi, Abbas Heydarnoori

The low performance gets even more severe when there is a lack of textual information in either commits or issues.