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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 113
Article Submitted : 18116
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Total Authors : 20540
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| Paper Title: | A NOVEL XGBOOST TUNED MACHINE LEARNING MODEL FOR SOFTWARE BUG PREDICTION |
| Authors Name: | G.Giridhar Naidu , Mr.S.Balamurugan , Mrs.S.Savitha |
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| Author Reg. ID: |
IJRTI_182084
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| Published Paper Id: | IJRTI2206125 |
| Published In: | Volume 7 Issue 6, June-2022 |
| DOI: | |
| 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 (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.764 - 768, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206125.pdf |
| Downloads: | 000205098 |
| 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 |
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Published Paper ID: IJRTI2206125
Registration ID:182084
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 764 - 768 Country: madanapalli (Chittoor), Andhra Pradesh, India Research Area: Master of Computer Application Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206125 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206125 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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