MaLTeSQuE@ESEC/SIGSOFT FSE

Publications

2022

Nikolaos Nikolaidis, Dimitrios Zisis, Apostolos Ampatzoglou, Nikolaos Mittas, Alexander Chatzigeorgiou
Using machine learning to guide the application of software refactorings: a preliminary exploration. MaLTeSQuE@ESEC/SIGSOFT FSE (2022)
Chao Liu, Qiaoluan Xie, Yong Li, Yang Xu, Hyun-Deok Choi
DeepCrash: deep metric learning for crash bucketing based on stack trace. MaLTeSQuE@ESEC/SIGSOFT FSE (2022)
Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim
On the application of machine learning models to assess and predict software reusability. MaLTeSQuE@ESEC/SIGSOFT FSE (2022)
Niranjan Hasabnis
Are machine programming systems using right source-code measures to select code repositories? MaLTeSQuE@ESEC/SIGSOFT FSE (2022)
Srinivasan Sengamedu, Hangqi Zhao
Neural language models for code quality identification. MaLTeSQuE@ESEC/SIGSOFT FSE (2022)
Yuriy Brun
The promise and perils of using machine learning when engineering software (keynote paper). MaLTeSQuE@ESEC/SIGSOFT FSE (2022)
Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE 2022, Singapore, Singapore, 18 November 2022 MaLTeSQuE@ESEC/SIGSOFT FSE (2022)

2021

2020

2019