Automated Error Handling Determination via Traceback Simulation
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Solution Overview
Problem
Debugging complex computer software has become increasingly difficult due to intricate interactions between programs and hardware, making it challenging to detect and handle errors effectively.
Innovation Solution
An automated system and method for error handling that simulates error conditions by capturing unique tracebacks, running tests, and identifying errors, allowing for the determination of proper error handling and detection of crashes or lock-ups in software applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated testing is implemented to detect errors, then debugging efficiency is improved, but system complexity increases
Solution Approach 1:
The testing system is divided into distinct modules: a testing module that executes tests and captures tracebacks, a analysis module that processes tracebacks and identifies unique error patterns, and a reporting module that generates error handling assessments. This segmentation allows each component to perform its function independently, improving debugging efficiency while managing system complexity through modular design.
Solution Approach 2:
The patent introduces an intermediary analysis layer that sits between the testing execution and the final error handling determination. This intermediary module captures tracebacks, compares them against known error patterns, and filters out noise before presenting results to developers. The intermediary layer automates the debugging process without requiring direct complex interactions between testing infrastructure and development tools.
2Reliability
If comprehensive error scenarios are simulated, then error detection capability is improved, but testing time increases
Solution Approach 1:
The system pre-establishes a database of known error patterns and traceback signatures before actual testing begins. During testing, captured tracebacks are quickly matched against this pre-prepared knowledge base rather than analyzing each traceback from scratch. This preliminary preparation enables comprehensive error scenario simulation while maintaining fast testing execution through efficient pattern matching.
Solution Approach 2:
The patent dynamically adjusts testing parameters such as the number of test iterations, error injection points, and traceback analysis depth based on the specific application being tested. For critical systems requiring high reliability, the system automatically increases testing thoroughness, while for less critical applications, it reduces testing time by analyzing only the most significant error patterns. This parameter adaptation allows the system to balance error detection capability with testing time requirements.
Data Source
AI summary
Systems and methods for automated determination of error handling. Data is received including one or more procedural operations to be tested. A first test is run on the data to capture one or more first tracebacks, where each traceback is associated with a procedural operation. A determination is made as to whether each captured first traceback is unique, where unique tracebacks are added to a unique traceback list. An error condition is simulated on each unique traceback on the unique traceback list by running a second test. The second test is run once for each unique traceback. One or more second tracebacks are captured during each run of the second test. When a unique traceback being tested matches a captured second traceback, an error code is returned and the second test may be run to completion. Errors encountered during each iteration of the second test running to completion are identified.