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

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

1 November 2022
Maliheh Izadi
Pooya Rostami Mazrae
T. Mens
Arie van Deursen
ArXivPDFHTML

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

2 / 2 papers shown
Title
Extending Source Code Pre-Trained Language Models to Summarise
  Decompiled Binaries
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
Ali Al-Kaswan
Toufique Ahmed
Maliheh Izadi
A. Sawant
Prem Devanbu
Arie van Deursen
SyDa
98
35
0
04 Jan 2023
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
220
7,930
0
17 Aug 2015
1