ChatBR: Automated assessment and improvement of bug report quality using ChatGPT

Bug reports, containing crucial information such as the Observed Behavior (OB), the Expected Behavior (EB), and the Steps to Reproduce (S2R), can help developers localize and fix bugs efficiently. However, due to the increasing complexity of some bugs and the limited experience of some reporters, large numbers of bug reports miss this crucial information. Although machine learning (ML)-based and information retrieval (IR)-based approaches are proposed to detect and supplement the missing information in bug reports, the performance of these approaches depends heavily on the size and quality of bug report datasets.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3691620.3695518
Citations
5
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
3.90

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ChatBR: Automated assessment and improvement of bug report quality using ChatGPT

Xiaobing Sun, Lili Bo, Ting Zhang, Wangjie Ji et al.
5 citations
Software Engineering Research
3.90
article

ChatBR: Automated assessment and improvement of bug report quality using ChatGPT

Xiaobing Sun, Lili Bo, Ting Zhang, Wangjie Ji, Ying Wei, Xiaoxue Wu
article en
5 citations

Abstract

Bug reports, containing crucial information such as the Observed Behavior (OB), the Expected Behavior (EB), and the Steps to Reproduce (S2R), can help developers localize and fix bugs efficiently. However, due to the increasing complexity of some bugs and the limited experience of some reporters, large numbers of bug reports miss this crucial information. Although machine learning (ML)-based and information retrieval (IR)-based approaches are proposed to detect and supplement the missing information in bug reports, the performance of these approaches depends heavily on the size and quality of bug report datasets.

Yunnan University (CN), Yangzhou University (CN), Singapore Management University (SG)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Software Engineering Research
3.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ChatBR: Automated assessment and improvement of bug report quality using ChatGPT — Xiaobing Sun, Lili Bo, et al. · (2024) | TGRS Research Map | TGRS