INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Deep learning, JIRA, Convolutional Neural Networks.
Cite Article:
"Automatic Duplicate Bug Report Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d108-d110, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303317.pdf
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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
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