文章基本信息

标题：API Retrieval Method Using TFIDF Based on Cosine similarity Weighting Scheme
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作者：Shyam Kumar Pasupula ; Nilam Upasani ; Pushkaraj Deshmukh 等
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：5
页码：1529-1533
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In this paper, we propose an Application Programming Interface (API) retrieval method using description information, in vector space model. API is the fundamental unit of work in a programming language. Large Software is explored through APIs which support the flexibility in software development process and supports reusability and frameworks. When developers invoke API methods in a framework, they often encounter a problem in finding the correct required API, from the bulk of API's in the framework. Correctly finding API in Software Development Kit (SDK) can represent a challenge. This paper aims at designing the architecture of API search engine based on TFIDF on Cosine similarity. In this paper, we also propose several key issues about the processing of Natural Language based Query Retrieval.
关键词：API; Cosine Similarity; Information ; retrieval; Lucene; TF -IDF; Text mining