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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)

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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 74

Article Submitted : 3607

Article Published : 2076

Total Authors : 5508

Total Reviewer : 528

Total Countries : 39

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Authors Name: G.Giridhar Naidu , Mr.S.Balamurugan , Mrs.S.Savitha
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Published Paper Id: IJRTI2206125
Published In: Volume 7 Issue 6, June-2022
Abstract: Software bug prediction is important during software development and maintenance. The early prediction of defective modules in developing software can help the development team to utilize the available resources efficiently and effectively to deliver high quality software product in limited time. Machine learning approach works by extracting the hidden patterns among software attributes. In this study, several machine learning classification techniques are used to predict the software defects in NASA datasets JM1, CM1, KC2 and PC3.It was proposed based on tuning the existing XGBoost model. The results achieved were compared model outperformed them for all datasets.
Keywords: Machine Learning, Dataset, Supervised Learning, Random Forest, XG Boost, Ada Boost, Decision Tree.
Cite Article: "A NOVEL XGBOOST TUNED MACHINE LEARNING MODEL FOR SOFTWARE BUG PREDICTION", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.7, Issue 6, page no.764 - 768, June-2022, Available :
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2206125
Registration ID:182084
Published In: Volume 7 Issue 6, June-2022
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Page No: 764 - 768
Country: madanapalli (Chittoor), Andhra Pradesh, India
Research Area: Master of Computer Application 
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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