Predicting Good Configurations for GitHub and Stack Overflow Topic
Models

v1v2v3 (latest)

Predicting Good Configurations for GitHub and Stack Overflow Topic Models

13 April 2018

Christoph Treude

ArXiv (abs)PDF HTML

Papers citing "Predicting Good Configurations for GitHub and Stack Overflow Topic Models"

5 / 5 papers shown

Title
Machine Learning practices and infrastructures G. Berman 69 4 0 13 Jul 2023
The impact of feature importance methods on the interpretation of defect classifiers Gopi Krishnan Rajbahadur Shaowei Wang Yasutaka Kamei Ahmed E. Hassan FAtt 57 83 0 04 Feb 2022
An Empirical Study of Developers' Discussions about Security Challenges of Different Programming Languages Roland Croft Yongzhen Xie Mansooreh Zahedi M. Babar Christoph Treude ELM 16 21 0 29 Jul 2021
MATE: A Model-based Algorithm Tuning Engine Mohamed El Yafrani M. Martins Inkyung Sung Markus Wagner Carola Doerr Peter Nielsen 58 4 0 27 Apr 2020
PUMiner: Mining Security Posts from Developer Question and Answer Websites with PU Learning T. H. Le David Hin Roland Croft M. Babar 71 20 0 08 Mar 2020