SEDec 8, 2018

Production-Driven Patch Generation

arXiv:1812.04475v17 citations
AI Analysis

This approach addresses program repair for software systems by enabling patch generation in production, though it appears incremental as it builds on existing repair concepts with a new deployment method.

The paper tackles the problem of patch generation by proposing to generate patches directly in production using automated analysis of failure context, which removes the need for failing test cases and allows access to full system state.

We present an original concept for patch generation: we propose to do it directly in production. Our idea is to generate patches on-the-fly based on automated analysis of the failure context. By doing this in production, the repair process has complete access to the system state at the point of failure. We propose to perform live regression testing of the generated patches directly on the production traffic, by feeding a sandboxed version of the application with a copy of the production traffic, the 'shadow traffic'. Our concept widens the applicability of program repair, because it removes the requirements of having a failing test case.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes