Suyash Shukla

Orcid: 0000-0002-8243-6603

According to our database1, Suyash Shukla authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Study of Learning Techniques for Effort Estimation in Object-Oriented Software Development.
IEEE Trans. Engineering Management, 2024

2023
Towards ensemble-based use case point prediction.
Softw. Qual. J., September, 2023

Know-UCP: locally weighted linear regression based approach for UCP estimation.
Appl. Intell., June, 2023

Towards non-linear regression-based prediction of use case point (UCP) metric.
Appl. Intell., May, 2023

Self-Adaptive Ensemble-based Approach for Software Effort Estimation.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Towards Automated Prediction of Software Bugs from Textual Description.
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

2022
Applications of deep learning for phishing detection: a systematic literature review.
Knowl. Inf. Syst., 2022

2021
A Stacking Ensemble-based Approach for Software Effort Estimation.
Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering, 2021

An Extreme Learning Machine based Approach for Software Effort Estimation.
Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering, 2021

2019
Analyzing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation.
Proceedings of the 2019 IEEE World Congress on Services, 2019

Applicability of Neural Network Based Models for Software Effort Estimation.
Proceedings of the 2019 IEEE World Congress on Services, 2019

2018
Software Reliability Assessment Using Machine Learning Technique.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018


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