Phoenix: a tool for automated data-driven synthesis of repairs for static analysis violations

One of the major drawbacks of traditional automatic program repair (APR) techniques is their dependence on a test suite as a repair specification. In practice, it is often hard to obtain specification-quality test suites. This limits the performance and hence the viability of such test-suite-based approaches. On the other hand, static-analysis-based bug finding tools are increasingly being adopted in industry but still facing challenges since the reported violations are viewed as not easily actionable. In previous work, we proposed a novel technique that solves both these challenges through a technique for automatically generating high-quality patches for static analysis violations by learning from previous repair examples. In this paper, we present a tool Phoenix, implementing this technique. We describe the architecture, user interfaces, and salient features of Phoenix, and specific practical use cases of its technology. A video demonstrating Phoenix is available at https://phoenix-tool.github.io/demo-video.html.