Kisub Kim

Orcid: 0000-0002-4462-6916

According to our database1, Kisub Kim authored at least 30 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Representation Learning for Stack Overflow Posts: How Far Are We?
ACM Trans. Softw. Eng. Methodol., March, 2024

Big Code Search: A Bibliography.
ACM Comput. Surv., January, 2024

CodeAgent: Collaborative Agents for Software Engineering.
CoRR, 2024

Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair.
CoRR, 2024

2023
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode.
IEEE Trans. Software Eng., October, 2023

Just-in-Time Security Patch Detection - LLM At the Rescue for Data Augmentation.
CoRR, 2023

How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective.
CoRR, 2023

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.
CoRR, 2023

APISENS- Sentiment Scoring Tool for APIs with Crowd-Knowledge.
CoRR, 2023

APIHarvest: Harvesting API Information from Various Online Sources.
CoRR, 2023

Generation-based Code Review Automation: How Far Are We?
CoRR, 2023

PatchZero: Zero-Shot Automatic Patch Correctness Assessment.
CoRR, 2023

Multi-Modal API Recommendation.
Proceedings of the IEEE International Conference on Software Analysis, 2023

On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Picaso: Enhancing API Recommendations with Relevant Stack Overflow Posts.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Are We Ready to Embrace Generative AI for Software Q&A?
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Generation-based Code Review Automation: How Far Are Weƒ.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

2022
DigBug - Pre/post-processing operator selection for accurate bug localization.
J. Syst. Softw., 2022

A Pre-Trained BERT Model for Android Applications.
CoRR, 2022

2021
Steps Towards Semantic Code Search.
PhD thesis, 2021

Where were the repair ingredients for Defects4j bugs?
Empir. Softw. Eng., 2021

2020
On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Learning to spot and refactor inconsistent method names.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
Augmenting and structuring user queries to support efficient free-form code search.
Empir. Softw. Eng., 2018

FaCoY: a code-to-code search engine.
Proceedings of the 40th International Conference on Software Engineering, 2018

LSRepair: Live Search of Fix Ingredients for Automated Program Repair.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
Extracting the Source Code Context to Predict Import Changes using GPES.
KSII Trans. Internet Inf. Syst., 2017

2016
A Distributed Survey Automation Based on a Customizable Form Template.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016


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