AUTHOR=Isotani Haruna , Washizaki Hironori , Fukazawa Yoshiaki , Nomoto Tsutomu , Ouji Saori , Saito Shinobu 

TITLE=Sentence embedding and fine-tuning to automatically identify duplicate bugs

JOURNAL=Frontiers in Computer Science

VOLUME=4

YEAR=2023

URL=https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2022.1032452

DOI=10.3389/fcomp.2022.1032452

ISSN=2624-9898

ABSTRACT=<p>Industrial software maintenance is critical but burdensome. Activities such as detecting duplicate bug reports are often performed manually. Herein an automated duplicate bug report detection system improves maintenance efficiency using vectorization of the contents and deep learning–based sentence embedding to calculate the similarity of the whole report from vectors of individual elements. Specifically, sentence embedding is realized using Sentence-BERT fine tuning. Additionally, its performance is experimentally compared to baseline methods to validate the proposed system. The proposed system detects duplicate bug reports more effectively than existing methods.</p>