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A study on application programming interface recommendation: state-of-the-art techniques, challenges and future directions

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LIBRARY HI TECH 2023年第2期41卷 355-385页

作者： Nawaz, Muhammad Sajid Khan, Saif Ur Rehman Hussain, Shahid Iqbal, Javed COMSATS Univ Islamabad GUI Dept Comp Sci Islamabad Pakistan Penn State Univ Dept Comp Sci & Software Engn University Pk PA 16802 USA

Purpose This study aims to identify the developer's objectives, current state-of-the-art techniques, challenges and performance evaluation metrics, and presents outlines of a knowledge-based application programming interfaces (api) recommendation system for the developers. Moreover, the current study intends to classify current state-of-the-art techniques supporting automated api recommendations. Design/methodology/approach In this study, the authors have performed a systematic literature review of studies, which have been published between the years 2004-2021 to achieve the targeted research objective. Subsequently, the authors performed the analysis of 35 primary studies. Findings The outcomes of this study are: (1) devising a thematic taxonomy based on the identified developers' challenges, where mashup-oriented apis and time-consuming process are frequently encountered challenges by the developers;(2) categorizing current state-of-the-art api recommendation techniques (i.e. clustering techniques, data preprocessing techniques, similarity measurements techniques and ranking techniques);(3) designing a taxonomy based on the identified objectives, where accuracy is the most targeted objective in api recommendation context;(4) identifying a list of evaluation metrics employed to assess the performance of the proposed techniques;(5) performing a SWOT analysis on the selected studies;(6) based on the developer's challenges, objectives and SWOT analysis, presenting outlines of a recommendation system for the developers and (7) delineating several future research dimensions in api recommendations context. Research limitations/implications This study provides complete guidance to the new researcher in the context of api recommendations. Also, the researcher can target these objectives (accuracy, response time, method recommendation, compatibility, user requirement-based api, automatic service recommendation and api location) in the future. Moreover, the developers can ov

关键词： Application programming interface Systematic review api recommendation system api developer challenges

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