research
∙
08/22/2023
Recommending Analogical APIs via Knowledge Graph Embedding
Library migration, which re-implements the same software behavior by usi...
share
research
∙
08/03/2023
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation
In this work, we make the first attempt to evaluate LLMs in a more chall...
research
∙
08/02/2023
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation
In this work, we evaluate 10 open-source instructed LLMs on four represe...
research
∙
05/07/2023
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
Unit testing is essential in detecting bugs in functionally-discrete pro...
research
∙
02/03/2023
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
Automated Program Repair (APR) improves software reliability by generati...
research
∙
07/14/2022
Attention: Not Just Another Dataset for Patch-Correctness Checking
Automated Program Repair (APR) techniques have drawn wide attention from...
research
∙
05/15/2021
How Does Regression Test Selection Affect Program Repair? An Extensive Study on 2 Million Patches
APR techniques can be extremely time consuming since (1) a large number ...
research
∙
01/13/2021
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Deep Learning (DL) is finding its way into a growing number of mobile so...
research
∙
04/19/2020
Interactive Patch Filtering as Debugging Aid
It is widely recognized that program repair tools need to have a high pr...
research
∙
10/03/2019
