Automatic Duplicate Bug Report Detection
Ekta Jain
, Vaishnavi Dhadiwal , Devang Papinwar , Milind Kedare , Saurabh Yadgire
Deep learning, JIRA, Convolutional Neural Networks.
Any software project will inevitably have bugs. They may appear at any time, through-out any stage of the creation or maintenance of software. Open source bug repositories are used in projects to maintain the issue reports. When a new bug report is received, a person called a ”Triager” reviews it and designates it to a responsible developer. But one must first determine whether or not the assignment is duplicate. The bug reports are typically maintained using tracking systems. One of the major issues with maintaining bug repositories is duplicate bug reports. Numerous users frequently report the same bug because of the uncoordinated manner in which bug reports are submitted to the tracking system. Duplicate bug reports waste time, money, and other resources. It complicates the job of triagers and necessitates extensive study and validation.
"Automatic Duplicate Bug Report Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d108-d110, March-2023, Available :https://ijnrd.org/papers/IJNRD2303317.pdf
Volume 8
Issue 3,
March-2023
Pages : d108-d110
Paper Reg. ID: IJNRD_189341
Published Paper Id: IJNRD2303317
Downloads: 000118853
Research Area: Engineering
Country: Pune, Maharashtra, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
