Automated question title reformulation by mining modifcation logs from Stack Overflow

• 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: Stack Overflow mining; question post quality assurance; question title reformulation; modification logs; deeplearning; Artificial Intelligence and Robotics; Software Engineering
• 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
• Institution: Singapore Management University

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...