Automated question title reformulation by mining modifcation logs from Stack Overflow
In Stack Overflow, developers may not clarify and summarize the critical problems in the question titles due to a lack of domain knowledge or poor writing skills. Previous studies mainly focused on automatically generating the question titles by analyzing the posts’ problem descriptions and code sni...
Saved in:
Main Authors: | LIU, Ke, CHEN, Xiang, CHEN, Chunyang, XIE, Xiaofei, CUI, Zhanqi |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8225 https://ink.library.smu.edu.sg/context/sis_research/article/9228/viewcontent/Automated_question_title_reformulation_by_mining_modifcation_logs_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Automated query reformulation for efficient search based on query logs from stack overflow
by: CAO, Kaibo, et al.
Published: (2021) -
Generating question titles for Stack Overflow from mined code snippets
by: GAO, Zhipeng, et al.
Published: (2020) -
Characterizing search activities on stack overflow
by: LIU, Jiakun, et al.
Published: (2021) -
AnswerBot: An answer summary generation tool based on stack overflow
by: CAI, Liang, et al.
Published: (2019) -
Multi-Factor Duplicate Question Detection in Stack Overflow
by: ZHANG, Yun, et al.
Published: (2015)