Ashish Sharma

Orcid: 0009-0001-2764-3685

Affiliations:
  • GLA University, Department of Computer Engineering and Applications, Mathura, India
  • Motilal Nehru National Institute of Technology Allahabad (MNNIT), Allahabad, India (PhD 2013)


According to our database1, Ashish Sharma authored at least 28 papers between 2010 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Enhancing cloud orchestration using hybrid scheduling for QoS-aware and energy-efficient task allocation.
Clust. Comput., November, 2025

A New Approach to Cloud Resource Scheduling Using Genetic Reinforcement Kernel Optimization and Machine Learning Model.
Concurr. Comput. Pract. Exp., May, 2025

An energy-aware migration framework using metaheuristic algorithm in cloud computing.
Knowl. Inf. Syst., February, 2025

2024
Blockchain and fog computing model for secure data access control mechanisms for distributed data storage and authentication using hybrid encryption algorithm.
Clust. Comput., September, 2024

Imperfect Debugging-Based Generalized Exponential Testing Effort Estimation for Software Fault Detection and Removal.
J. Circuits Syst. Comput., April, 2024

Machine learning based file type classifier designing in IoT cloud.
Clust. Comput., 2024

Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization.
IEEE Access, 2024

A Proposal to Design a LSB Based Steganographic Process through Randomization.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

A Novel Blockchain-Based Encryption Model to Protect Fog Nodes.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
Forecasting students' adaptability in online entrepreneurship education using modified ensemble machine learning model.
Array, September, 2023

Deep Reinforcement Learning for Resource Allocation in Edge Computing for IoT.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

2022
Estimation of cost and development effort in Scrum-based software projects considering dimensional success factors.
Adv. Eng. Softw., 2022

Validation of agile methodology as ideal software development process using Fuzzy-TOPSIS method.
Adv. Eng. Softw., 2022

2021
Imperfect Debugging-Based Modeling of Fault Detection and Correction Using Statistical Methods.
J. Circuits Syst. Comput., 2021

2019
ANOVA Based Significance Testing of Non-functional Requirements in Software Engineering.
Int. J. Inf. Technol. Proj. Manag., 2019

A versatile approach for ranking and modelling of non-functional requirements.
Int. J. Crit. Comput. Based Syst., 2019

2016
Classification of Non-functional Requirements from SRS Documents Using Thematic Roles.
Proceedings of the IEEE International Symposium on Nanoelectronic and Information Systems, 2016

Rule-based system for automated classification of non-functional requirements from requirement specifications.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

Prioritizing and optimizing risk factors in agile software development.
Proceedings of the Ninth International Conference on Contemporary Computing, 2016

2015
Identifying Effective Software Metrics for Categorical Defect Prediction Using Structural Equation Modeling.
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

Modeling Structural Model for Defect Categories Based On Software Metrics for Categorical Defect Prediction.
Proceedings of the Sixth International Conference on Computer and Communication Technology 2015, 2015

2014
Designing an Energy-Efficient Cloud Messaging Service for Smartphones.
IEEE Pervasive Comput., 2014

A Versatile Approach for the Estimation of Software Development Effort Based on SRS Document.
Int. J. Softw. Eng. Knowl. Eng., 2014

Software Requirement Prioritization using Machine Learning.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

2012
Applying requirement based complexity for the estimation of software development and testing effort.
ACM SIGSOFT Softw. Eng. Notes, 2012

2011
Natural language based component extraction from requirement engineering document and its complexity analysis.
ACM SIGSOFT Softw. Eng. Notes, 2011

2010
Early estimation of software complexity using requirement engineering document.
ACM SIGSOFT Softw. Eng. Notes, 2010

A Complexity measure based on Requirement Engineering Document
CoRR, 2010


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