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Context-based intelligent recommendation by code reuse for smart decision support and cognitive adaptive systems

Shailesh Khapre (International Institute of Information Technology, Naya Raipur, India)
Prabhishek Singh (Amity University, Noida, India)
Achyut Shankar (Amity University, Noida, India)
Soumya Ranjan Nayak (Amity University, Noida, India)
Manoj Diwakar (Graphic Era Deemed to be University, Dehradun, India)

International Journal of Intelligent Unmanned Systems

ISSN: 2049-6427

Article publication date: 28 October 2021

Issue publication date: 31 January 2023

96

Abstract

Purpose

This paper aims to use the concept of machine learning to enable people and machines to interact more certainly to extend and expand human expertise and cognition.

Design/methodology/approach

Intelligent code reuse recommendations based on code big data analysis, mining and learning can effectively improve the efficiency and quality of software reuse, including common code units in a specific field and common code units that are not related to the field.

Findings

Focusing on the topic of context-based intelligent code reuse recommendation, this paper expounds the research work in two aspects mainly in practical applications of smart decision support and cognitive adaptive systems: code reuse recommendation based on template mining and code reuse recommendation based on deep learning.

Originality/value

On this basis, the future development direction of intelligent code reuse recommendation based on context has prospected.

Keywords

Citation

Khapre, S., Singh, P., Shankar, A., Nayak, S.R. and Diwakar, M. (2023), "Context-based intelligent recommendation by code reuse for smart decision support and cognitive adaptive systems", International Journal of Intelligent Unmanned Systems, Vol. 11 No. 1, pp. 75-87. https://doi.org/10.1108/IJIUS-07-2021-0055

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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