A spontaneous code recommendation tool based on associative search

Authors:
Watanabe Takuya;Hidehiko Masuhara
Affiliations:
University of Tokyo, Tokyo, Japan;University of Tokyo, Tokyo, Japan
Venue:
Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation
Year:
2011

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Abstract

We present Selene, a source code recommendation tool based on an associative search engine. It spontaneously searches and displays example programs while the developer is editing a program text. By using an associative search engine, it can search a repository of two million example programs within a few seconds. This paper discusses issues that are revealed by our ongoing implementation of Selene, in particular those of performance, similarity measures and user interface.