The survey of data mining applications and feature scope N Padhy, DP Mishra, R Panigrahi arXiv preprint arXiv:1211.5723, 2012 | 348 | 2012 |
Multi relational data mining approaches: A data mining technique N Padhy, R Panigrahi arXiv preprint arXiv:1211.3871, 2012 | 35 | 2012 |
The survey of data mining applications and feature scope P Mishra, N Padhy, R Panigrahi Asian Journal of Computer Science & Information Technology 2 (4), 68-77, 2013 | 30 | 2013 |
Identifying the reusable components from component-based system: proposed metrics and model N Padhy, R Panigrahi, SC Satapathy Information Systems Design and Intelligent Applications: Proceedings of …, 2019 | 29 | 2019 |
Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models N Padhy, R Panigrahi, K Neeraja Evolutionary intelligence 14 (2), 315-329, 2021 | 27 | 2021 |
Security issues over E-commerce and their solutions SP Patro, N Padhy, R Panigrahi Int. J. of Advanced Research in Computer and Communication Engineering 5 (12), 2016 | 19 | 2016 |
A systematic literature review of an object oriented metric: reusability N Padhy, R Panigrahi, S Baboo 2015 international conference on computational intelligence and networks …, 2015 | 19 | 2015 |
Software reusability metrics prediction by using evolutionary algorithms: The interactive mobile learning application RozGaar N Padhy, SC Satapathy, JR Mohanty, R Panigrahi International Journal of Knowledge-based and Intelligent Engineering Systems …, 2018 | 16 | 2018 |
Data Mining: A prediction Technique for the workers in the PR Department of Orissa (Block and Panchayat) N Padhy, R Panigrahi arXiv preprint arXiv:1211.5724, 2012 | 12 | 2012 |
Software reusability metrics estimation from the social media by using evolutionary algorithms: refactoring prospective R Panigrahi, N Padhy, SC Satapathy International Journal of Open Source Software and Processes (IJOSSP) 10 (2 …, 2019 | 10 | 2019 |
Application of Naïve Bayes classifiers for refactoring Prediction at the method level R Panigrahi, L Kumar 2020 International Conference on Computer Science, Engineering and …, 2020 | 9 | 2020 |
Method level refactoring prediction by weighted-svm machine learning classifier R Panigrahi, SK Kuanar, L Kumar Mobile Application Development: Practice and Experience: 12th Industry …, 2023 | 8 | 2023 |
Prediction of accuracy on open source java projects using class level refactoring A Patnaik, R Panigrahi, N Padhy 2020 International Conference on Computer Science, Engineering and …, 2020 | 8 | 2020 |
An empirical study to investigate different SMOTE data sampling techniques for improving software refactoring prediction R Panigrahi, L Kumar, SK Kuanar Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 7 | 2020 |
Threshold estimation from software metrics by using evolutionary techniques and its proposed algorithms, models. Evol Intel N Padhy, R Panigrahi, K Neeraja | 7 | 2019 |
Software reusability metrics prediction and cost estimation by using machine learning algorithms R Panigrahi, SK Kuanar, L Kumar, N Padhy, SC Satapathy International Journal of Knowledge-based and Intelligent Engineering Systems …, 2019 | 5 | 2019 |
Class-level refactoring prediction by ensemble learning with various feature selection techniques R Panigrahi, SK Kuanar, S Misra, L Kumar Applied Sciences 12 (23), 12217, 2022 | 4 | 2022 |
An empirical study for method-level refactoring prediction by ensemble technique and SMOTE to improve its efficiency R Panigrahi, SK Kuanar, L Kumar International Journal of Open Source Software and Processes (IJOSSP) 12 (4 …, 2021 | 3 | 2021 |
The Statistical Measurement of an Object-Oriented Programme Using an Object Oriented Metrics R Panigrahi, S Baboo, N Padhy Proceedings of the 3rd International Conference on Frontiers of Intelligent …, 2015 | 3 | 2015 |
Revealing MOVE METHOD: Machine Learning-driven Real-time Refactoring Identification for Enhanced Software Quality VK Swain, R Panigrahi, KK Sahu, N Padhy 2024 International Conference on Emerging Systems and Intelligent Computing …, 2024 | 1 | 2024 |