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

Abstract

PurposeThis 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/approachIntelligent 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.FindingsFocusing 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/valueOn this basis, the future development direction of intelligent code reuse recommendation based on context has prospected.