Querying Big Source Code

Software compliance, auditing, and maintainability of large application repositories force organizations to rely on source code analysis tools to identify code vulnerabilities, data flows, technical debt, and bugs. We propose a novel method to identify data flows within an application by analyzing the code traces or `links` that exist between the code and the data. Our application, SourceDB, leverages a relational database system as the backend to perform such discovery and computations. Our experiments show that SourceDB is able to process, analyze, and query the data source, logs, and source code in seconds.