Static Code Check Watchdog for Self-Healing Job Failures
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Solution Overview
Problem
Automated static code checks in software development pipelines are prone to failures and delays due to intermittent issues, which can disrupt the integration of modifications into production environments, and manual interventions are inefficient and error-prone.
Innovation Solution
A self-healing mechanism is integrated into the static code checking pipeline, utilizing a watchdog process that monitors job dependencies and execution times, automatically terminating and restarting jobs to maintain the integrity of the code checking process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated static code checks are performed in the software development pipeline, then code quality and security are improved, but the pipeline is prone to failures and delays due to intermittent issues
Solution Approach 1:
The patent implements a self-healing mechanism where the system automatically detects and recovers from failures without human intervention. The watchdog process monitors job status, identifies failures, and triggers re-execution of failed jobs or entire pipelines, enabling the system to self-correct and minimize manual intervention while maintaining code checking reliability
Solution Approach 2:
The patent employs continuous monitoring and feedback loops where the watchdog process periodically checks job status, compares actual performance against expected outcomes, and automatically adjusts pipeline execution. This feedback mechanism allows the system to detect failures, understand their impact, and implement corrective actions to reduce pipeline delays
2Ease of operation
If manual intervention is used to address code check failures, then flexibility is improved, but efficiency and error-proneness worsen
Solution Approach 1:
The patent replaces manual intervention with an automated self-healing mechanism. The watchdog process automatically monitors job status, detects failures, determines appropriate recovery actions, and executes them without human involvement. This eliminates the trade-off between manual flexibility and automated efficiency, as the system provides both adaptability and high-speed automated response
Solution Approach 2:
The patent prepares recovery strategies in advance by defining expected job outcomes and monitoring thresholds. When failures occur, the system already has predetermined recovery actions ready to execute immediately, eliminating the need for manual decision-making and accelerating failure resolution efficiency
3Reliability
If continuous monitoring of code check jobs is implemented, then failure detection is improved, but system complexity increases
Solution Approach 1:
The patent extracts the monitoring and recovery functions into a separate watchdog process that operates independently from the main code checking pipeline. This extraction allows the monitoring system to be added without significantly complicating the core code analysis functionality, as the watchdog handles monitoring, failure detection, and recovery coordination as a distinct service layer
Data Source
AI summary
Systems and methods described herein relate to self-healing static code checks. Job structure metadata for an automated static code check defines a plurality of jobs. The jobs are scheduled such that execution of at least a first subset of the jobs is dependent on successful completion of at least a second subset of the jobs. While the automated static code check is in progress, a plurality of snapshots of the automated static code check is automatically generated for respective points in time. An event is detected based on the job structure metadata and a particular snapshot. The event includes a job failure or the automated static code check exceeding a predetermined runtime threshold. A corrective action is triggered, which may include automatically terminating and triggering re-execution of one or more of the jobs of the automated static code check.