| Early stage software effort estimation using random forest technique based on use case points SM Satapathy, BP Acharya, SK Rath IET Software 10 (1), 10-17, 2016 | 92 | 2016 |
| Empirical validation of neural network models for agile software effort estimation based on story points A Panda, SM Satapathy, SK Rath Procedia Computer Science 57, 772-781, 2015 | 92 | 2015 |
| Story Point Approach based Agile Software Effort Estimation using Various SVR Kernel Methods SM Satapathy, A Panda, SK Rath The Twenty-Sixth International Conference on Software Engineering …, 2014 | 66* | 2014 |
| Empirical assessment of machine learning models for agile software development effort estimation using story points SM Satapathy, SK Rath Innovations in Systems and Software Engineering 13 (2), 191-200, 2017 | 57 | 2017 |
| An analytical comparison of mobile application development using agile methodologies B Mathur, SM Satapathy 2019 3rd International Conference on Trends in Electronics and Informatics …, 2019 | 31 | 2019 |
| Fuzzy-class point approach for software effort estimation using various adaptive regression methods SM Satapathy, M Kumar, SK Rath CSI Transactions on ICT 1 (4), 367-380, 2013 | 31 | 2013 |
| Method level refactoring prediction on five open source java projects using machine learning techniques L Kumar, SM Satapathy, LB Murthy Proceedings of the 12th Innovations in Software Engineering Conference …, 2019 | 29 | 2019 |
| Class point approach for software effort estimation using soft computing techniques SM Satapathy, M Kumar, SK Rath 2013 International Conference on Advances in Computing, Communications and …, 2013 | 25 | 2013 |
| Class point approach for software effort estimation using stochastic gradient boosting technique SM Satapathy, BP Acharya, SK Rath ACM SIGSOFT Software Engineering Notes 39 (3), 1-6, 2014 | 19 | 2014 |
| Application of smote and lssvm with various kernels for predicting refactoring at method level L Kumar, SM Satapathy, A Krishna Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 14 | 2018 |
| Empirical assessment of machine learning models for effort estimation of web-based applications SM Satapathy, SK Rath Proceedings of the 10th Innovations in Software Engineering Conference, 74-84, 2017 | 11 | 2017 |
| Effort estimation of web-based applications using machine learning techniques SM Satapathy, SK Rath 2016 International conference on advances in computing, communications and …, 2016 | 11 | 2016 |
| Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model SM Satapathy, M Kumar, SK Rath International Journal of Computer Applications in Technology 54 (4), 323-333, 2016 | 11 | 2016 |
| Neural Network Models for Agile Software Effort Estimation based on Story Points A Panda, SM Satapathy, SK Rath International Conference On Advances in Computing, Control and Networking …, 2015 | 11 | 2015 |
| Deep-learning approach with Deepxplore for software defect severity level prediction L Kumar, TG Dastidar, LB Murthy Neti, SM Satapathy, S Misra, V Kocher, ... Computational Science and Its Applications–ICCSA 2021: 21st International …, 2021 | 10 | 2021 |
| Software project risk assessment based on cost drivers and Neuro-Fuzzy technique MV Goyal, SM Satapathy, SK Rath International Conference on Computing, Communication & Automation, 823-827, 2015 | 8 | 2015 |
| BFCNet: a CNN for diagnosis of ductal carcinoma in breast from cytology images A Bal, M Das, SM Satapathy, M Jena, SK Das Pattern Analysis and Applications 24 (3), 967-980, 2021 | 7 | 2021 |
| Applying Neural Network to Determine Patterns in Open Source Software AK Dwivedi, SK Rath, SM Satapathy 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), 1-7, 2019 | 7 | 2019 |
| Effort estimation methods in software development using machine learning algorithms SM Satapathy | 7 | 2016 |
| Early Stage Software Effort Estimation using Random Forest Technique based on Optimized Class Point Approach SM Satapathy, BP Acharya, SK Rath INFOCOMP Journal of Computer Science 13 (2), 22-33, 2014 | 7 | 2014 |
Santanu Kumar RathProfessor of Computer Science and Engg. dept., National Institute of Technology, NIT Rourkela 769008在 nitrkl.ac.in 的电子邮件经过验证
