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Suyash Shukla
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2020 – today
- 2024
- [j5]Suyash Shukla
, Sandeep Kumar
Study of Learning Techniques for Effort Estimation in Object-Oriented Software Development. IEEE Trans. Engineering Management 71: 4602-4618 (2024) - 2023
- [j4]Suyash Shukla, Sandeep Kumar
Towards non-linear regression-based prediction of use case point (UCP) metric. Appl. Intell. 53(9): 10326-10339 (2023) - [j3]Suyash Shukla, Sandeep Kumar
Know-UCP: locally weighted linear regression based approach for UCP estimation. Appl. Intell. 53(11): 13488-13505 (2023) - [j2]Suyash Shukla, Sandeep Kumar
Towards ensemble-based use case point prediction. Softw. Qual. J. 31(3): 843-864 (2023) - [c7]Suyash Shukla, Sandeep Kumar
Towards Automated Prediction of Software Bugs from Textual Description. ENASE 2023: 193-201 - [c6]Suyash Shukla, Sandeep Kumar
Self-Adaptive Ensemble-based Approach for Software Effort Estimation. SANER 2023: 581-592 - 2022
- [j1]Cagatay Catal
Applications of deep learning for phishing detection: a systematic literature review. Knowl. Inf. Syst. 64(6): 1457-1500 (2022) - 2021
- [c5]Suyash Shukla, Sandeep Kumar
An Extreme Learning Machine based Approach for Software Effort Estimation. ENASE 2021: 47-57 - [c4]Suyash Shukla, Sandeep Kumar
A Stacking Ensemble-based Approach for Software Effort Estimation. ENASE 2021: 205-212
2010 – 2019
- 2019
- [c3]Suyash Shukla, Sandeep Kumar
Applicability of Neural Network Based Models for Software Effort Estimation. SERVICES 2019: 339-342 - [c2]Suyash Shukla, Sandeep Kumar
Analyzing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation. SERVICES 2019: 386-387 - 2018
- [c1]Ranjan Kumar Behera
Software Reliability Assessment Using Machine Learning Technique. ICCSA (5) 2018: 403-411
Coauthor Index
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