You are provided with the abstract of a scientific paper and the abstracts of the papers it references. Your task is to write a Related Work section for the main paper. This section should concisely summarize and integrate the key points from the cited abstracts, reflecting how they relate to the main paper's contributions and context. In your summary, use numerical citation markers like [1], [2], etc., to refer to the corresponding papers.

Main Abstract:
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.

Cited Abstract(s):
[1]: Competitive parallel execution (CPE) is a simple yet attractive technique to improve the performance of sequential programs on multi-core and multi-processor systems. A sequential program is transformed into a CPE-enabled program by introducing multiple variants for parts of the program. The performance of different variants depends on runtime conditions, such as program input or the execution platform, and the execution time of a CPE-enabled program is the sum of the shortest variants. Variants compete at run-time under the control of a CPE-aware run-time system. The run-time system ensures that the behavior and outcome of a CPE-enabled program is not distinguishable from the one of its original sequential counterpart. We present and evaluate a run-time system that is implemented as a user-space library and that closely interacts with the operating system. The paper discusses two strategies for the generation of variants and investigates the applicability of CPE for two usage scenarios: i) computation-driven CPE: a simple and straightforward parallelization of heuristic algorithms, and ii) compiler-driven CPE: generation of CPE-enabled programs as part of the compilation process using different optimization strategies. Using a state-of-the-art SAT solver as an illustrative example, we report for compiler-based CPE speedups of 4-6 for many data sets, with a maximum slowdown of 2 . Computation-driven CPE provides super-linear speedups for 5 out of 31 data sets (with a maximum speedup of 7.4) and at most a slow-down of 1 for two data sets.

[2]: Software systems are constantly evolving, with new versions and patches being released on a continuous basis. Unfortunately, software updates present a high risk, with many releases introducing new bugs and security vulnerabilities. We tackle this problem using a simple but effective multi-version based approach. Whenever a new update becomes available, instead of upgrading the software to the new version, we run the new version in parallel with the old one; by carefully coordinating their executions and selecting the behaviour of the more reliable version when they diverge, we create a more secure and dependable multi-version application. We implemented this technique in Mx, a system targeting Linux applications running on multi-core processors, and show that it can be applied successfully to several real applications such as Coreutils, a set of user-level UNIX applications; Lighttpd, a popular web server used by several high-traffic websites such as Wikipedia and YouTube; and Redis, an advanced key-value data structure server used by many well-known services such as GitHub and Flickr.
The concept of shadow traffic is related to the execution of multiple versions of the same software in parallel, called in the literature multi-version execution'' [2] , or parallel execution'' [1] . However, none of the related work uses shadow traffic to generate patches.