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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    Titel :

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


    Weitere Titelangaben:

    Context-based intelligent recommendation


    Beteiligte:


    Erscheinungsdatum :

    28.10.2021


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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