Compiler Feedback Loop for Anti-Fragile Software
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Solution Overview
Problem
Software systems are often fragile, prone to crashes due to unpredicted events during real-world use, and require lengthy cycles for data collection, analysis, and patching, which is intolerable in applications like defense-related systems.
Innovation Solution
The implementation of ahead-of-time (AoT) compilation or translation processes using WebAssembly workflows that incorporate knowledge from prior executions to generate resilient, secure, and performant binary or native machine code, supporting self-healing and self-optimization by modifying compilers or translators based on feedback from execution failures and performance characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional software development cycles are used, then software can be tested and patched, but the cycle time for data collection, analysis, and patching is very long
Solution Approach 1:
The patent applies preliminary action by performing ahead-of-time compilation and translation of software code into resilient binary formats before deployment. The system pre-processes code to identify and mitigate potential failures, embedding resilience mechanisms in advance rather than reacting to failures after they occur. This reduces the need for lengthy post-deployment patching cycles.
Solution Approach 2:
The patent implements feedback mechanisms where execution data and failure information are collected and fed back into the compilation process. The system uses feedback from real-world execution to modify future compilation decisions, creating a continuous improvement loop that progressively enhances software resilience without requiring manual patching cycles.
2Adaptability or versatility
If software is deployed to handle real-world conditions, then software becomes more robust, but it may crash due to unpredicted events during real-world use
Solution Approach 1:
The system performs preliminary analysis and translation of code into resilient binary formats that are specifically designed to handle unpredictable real-world conditions. The ahead-of-time compilation process prepares the software in advance with resilience mechanisms, so when unpredicted events occur during real-world use, the software can handle them without crashing.
Solution Approach 2:
The patent converts harmful failure data into beneficial improvement signals. When software encounters failures during real-world use, the system collects this execution data and uses it to modify future compilation processes, transforming failure information into a resource for building more resilient software in the next iteration.
3Reliability
If compilers or translators are modified based on feedback, then software resilience improves, but the complexity of the compilation process increases
Solution Approach 1:
The system implements self-service by automatically using execution feedback to modify compilation processes without requiring manual intervention. The feedback-driven compilation system self-adjusts based on observed failures and performance characteristics, eliminating the need for human analysts to manually analyze failures and create patch versions.
Solution Approach 2:
The patent employs feedback mechanisms where execution data automatically feeds back into the compilation process. This closed-loop system uses observed failures and performance characteristics to automatically modify translation decisions, reducing the need for manual analysis and simplifying the overall process despite the increased intelligence required.
Data Source
AI summary
A method includes generating output code based on input code using a compiler or translator and providing the output code to one or more platforms for execution. The method also includes receiving feedback associated with the execution of the output code, where the feedback identifies at least one of: one or more failures during the execution of the output code and one or more performance characteristics of the execution of the output code. The method further includes modifying the compiler or translator based on the feedback and generating additional output code using the modified compiler or translator.