Mining Software Engineering Data for Software Reuse by Themistoklis Diamantopoulos & Andreas L. Symeonidis

Mining Software Engineering Data for Software Reuse by Themistoklis Diamantopoulos & Andreas L. Symeonidis

Author:Themistoklis Diamantopoulos & Andreas L. Symeonidis
Language: eng
Format: epub
ISBN: 9783030301064
Publisher: Springer International Publishing


5.3 The AGORA Code Search Engine

5.3.1 Overview

The overall architecture of AGORA is shown in Fig. 5.1. ElasticSearch [8] was selected as our search server since it abstracts Lucene well, and allows harnessing its power, while at the same time overcoming any difficulties coming from Lucene’s “flat” structure. Storage in ElasticSearch is quite similar to the NoSQL document-based paradigm. Objects are stored in documents (the equivalent of records in a relational schema), documents are stored inside collections (the equivalent of relational tables), and collections are stored in indexes (the equivalent of relational databases). We define two collections: projects and files. Projects contain information about software projects, while files contain information about source code files.

Fig. 5.1The architecture of AGORA



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