Data Mining for Software Repositories with Data Analytics for Feature Extraction and Classification Using Deep Learning Model

Authors

  • M. Jeevana Sujitha JNTUK, CSE, SRKR ENGINEERING COLLEGE Bhimavaram
  • Ms. Divya Paikaray Assistant Professor, Department of Computer Science Arka Jain University, Jamshedpur, Jharkhand, India. https://orcid.org/0000-0001-7886-1538
  • Tatikonda Kavya GITAM (Deemed to be University), Computer Science and Engineering GITAM School of Technology, Visakhapatnam
  • Badria Sulaiman Alfurhood Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Saudi Arabia
  • Akula VS Siva Rama Rao Associate Professor, Dept of CSE, Sasi Institute of Technology & Engineering, Tadepalligudem
  • Srinivasan Sriramulu Professor, Department of CSE, Galgotias University, Greater Noida, Uttar Pradesh, India

Keywords:

software Repositories, data mining, data analytics, feature extraction, classification, deep learning

Abstract

In the period of computerized media, the quickly expanding volume and intricacy of sight and sound information cause numerous issues in putting away, handling, and questioning data in a sensible time. Huge storehouses of source code set out new difficulties and open doors for factual machine learning. Here we initially foster Sourcerer, a foundation for the mechanized slithering, parsing, and data set capacity of open source programming. This research propose novel technique in software Repositories for data mining and data analytics in feature extraction and classification using deep learning. here the software Repositories for data mining is carried out based on Markov Chain Monte Carlo model. Then the data analytics has been carried out for feature extraction and classification using heuristic Gaussian bayes neural network with principal component analysis. The experimental analysis has been carried out for various dataset in terms of accuracy, precision, recall, MSE, MAP.The proposed technique attainedaccuracy of 96%, precision of 85%, recall of 79%, MSE of 66%, MAP of 63%.

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data analytics based proposed model

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Published

19.12.2022

How to Cite

M. Jeevana Sujitha, Ms. Divya Paikaray, Tatikonda Kavya, Badria Sulaiman Alfurhood, Akula VS Siva Rama Rao, & Srinivasan Sriramulu. (2022). Data Mining for Software Repositories with Data Analytics for Feature Extraction and Classification Using Deep Learning Model. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 291 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2403

Issue

Vol. 10 No. 2s (2022)

Section

Research Article

License

Copyright (c) 2022 M. Jeevana Sujitha, Ms. Divya Paikaray, Tatikonda Kavya, Badria Sulaiman Alfurhood, Akula VS Siva Rama Rao, Srinivasan Sriramulu

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