Geunseok Yang

Orcid: 0000-0002-6273-7177

According to our database1, Geunseok Yang authored at least 15 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Predicting Duplicate in Bug Report Using Topic-Based Duplicate Learning With Fine Tuning-Based BERT Algorithm.
IEEE Access, 2022

Bug Severity Prediction Algorithm Using Topic-Based Feature Selection and CNN-LSTM Algorithm.
IEEE Access, 2022

2021
Utilizing Topic-Based Similar Commit Information and CNN-LSTM Algorithm for Bug Localization.
Symmetry, 2021

2020
Applying deep learning algorithm to automatic bug localization and repair.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019
Applying Topic Modeling and Similarity for Predicting Bug Severity in Cross Projects.
KSII Trans. Internet Inf. Syst., 2019

2018
Applying Genetic Programming with Similar Bug Fix Information to Automatic Fault Repair.
Symmetry, 2018

An Emotion Similarity Based Severity Prediction of Software Bugs: A Case Study of Open Source Projects.
IEICE Trans. Inf. Syst., 2018

2017
Analyzing emotion words to predict severity of software bugs: a case study of open source projects.
Proceedings of the Symposium on Applied Computing, 2017

Toward Providing Automatic Program Repair by Utilizing Topic-Based Code Block Similarity.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017

2016
Towards more accurate severity prediction and fixer recommendation of software bugs.
J. Syst. Softw., 2016

Guiding Bug Triage through Developer Analysis in Bug Reports.
Int. J. Softw. Eng. Knowl. Eng., 2016

2015
Predicting severity of bug report by mining bug repository with concept profile.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014
Utilizing a multi-developer network-based developer recommendation algorithm to fix bugs effectively.
Proceedings of the Symposium on Applied Computing, 2014

Towards Semi-automatic Bug Triage and Severity Prediction Based on Topic Model and Multi-feature of Bug Reports.
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

A Novel Developer Ranking Algorithm for Automatic Bug Triage Using Topic Model and Developer Relations.
Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014


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