DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis

Abstract

Abstract-Solr to interactively perform analytics on a code repository and to extract metadata using Apache Tika; and finally (3) Apache OODT to run RAT on per-MIME type (e.g., C/C++, Java, Javascript, etc.) and per configurable K-file sized chunks in a MapReduce workflow. Each Mapper task is an instance of RAT running on a K-file sized per Multipurpose Internet Mail Extensions (MIME) type chunk (split using Tika) and each mapper produces and incremental and intermediate log file; and where the Reducer aggregates the individual log files.