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.


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    Title :

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


    Additional title:

    Context-based intelligent recommendation


    Contributors:


    Publication date :

    2021-10-28


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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