Exemplar: EXEcutable exaMPLes ARchive

Authors:
Mark Grechanik;Chen Fu;Qing Xie;Collin McMillan;Denys Poshyvanyk;Chad Cumby
Affiliations:
Accenture Technology Labs, Chicago, IL;Accenture Technology Labs, Chicago, IL;Accenture Technology Labs, Chicago, IL;The College of William and Mary, Williamsburg, VA;The College of William and Mary, Williamsburg, VA;Accenture Technology Labs, Chicago, IL
Venue:
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Year:
2010

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Abstract

Searching for applications that are highly relevant to development tasks is challenging because the high-level intent reflected in the descriptions of these tasks doesn't usually match the low-level implementation details of applications. In this demo we show a novel code search engine called Exemplar (EXEcutable exaMPLes ARchive) to bridge this mismatch. Exemplar takes natural-language query that contains high-level concepts (e.g., MIME, data sets) as input, then uses information retrieval and program analysis techniques to retrieve applications that implement these concepts.