Enhancing Automated Analysis of Bug Descriptions and Report Generation Using Machine Learning & NLP

D. Aruna, Bommasani Lakshmi Prasanna, Valisetti Bhagya Lakshmi, Jannu Veera Phani Ganesh and Abdul Neelshuk Asmith

International Journal of Scientific Research in Science and Technology, 2024, vol. 11, issue 2, 875-883

Abstract: Bug reports can provide a great deal of assistance for developers during the process of development. But due to the large size of bug repositories, it is sometimes difficult to take advantage of these artifacts in the available time. One way of helping developers to provide summaries of these reports and provide relevant details only. Once it’s decided that this is the required report then one can study the details. As text mining technology advances, many substantial approaches have been proposed to generate optimized summaries for bug reports. In this project, we have proposed an extractive based methodology for the generation of summaries of bug reports by using the sentence embedding. We achieved improved rouge-1 and rouge2 results than the previous state of the art systems for the bug report summary generation.

Keywords: Summarization; Natural Language Processing; Machine Learning, Software Artifacts; Bug reports (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST24112149 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST24112149/IJSRST24112149 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v11:y2024:i2:id:151

DOI: 10.32628/IJSRST24112149

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().