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Peer code review locates common coding standard violations and simple logicalerrors in the early phases of software development, and thus, reduces overallcost. Unfortunately, at GitHub, identifying an appropriate code reviewer for apull request is challenging given that reliable information for revieweridentification is often not readily available. In this paper, we propose a codereviewer recommendation tool--CORRECT--that considers not only the relevantcross-project work experience (e.g., external library experience) of adeveloper but also her experience in certain specialized technologies (e.g.,Google App Engine) associated with a pull request for determining her expertiseas a potential code reviewer. We design our tool using client-serverarchitecture, and then package the solution as a Google Chrome plug-in. Oncethe developer initiates a new pull request at GitHub, our tool automaticallyanalyzes the request, mines two relevant histories, and then returns a rankedlist of appropriate code reviewers for the request within the browser'scontext.  Demo: https://www.youtube.com/watch?v=rXU1wTD6QQ0

CORRECT: Code Reviewer Recommendation at GitHub for Vendasta Technologies