Script Error Correction for Hardcoded Dynamic Values
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Solution Overview
Problem
Automated testing of client-server applications is hindered by the need to simulate dynamic data, which often requires modifying client or server applications, leading to potential errors and security vulnerabilities, and inefficient resource usage.
Innovation Solution
A system that utilizes artificial intelligence to analyze script errors, identifies hardcoded values, and replaces them with variables, automatically generating corrected scripts to resolve errors and simulate dynamic data effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual modification of client or server applications is performed to simulate dynamic data, then testing capability is improved, but error introduction and security vulnerabilities increase
Solution Approach 1:
The system enables automated self-correction of scripts by detecting hardcoded values and automatically replacing them with dynamic data retrieval operations. The AI model analyzes errors and generates corrections without human intervention, allowing the testing system to self-heal and maintain reliability while preserving adaptability.
Solution Approach 2:
An AI model acts as an intermediary between the error detection system and script correction process. The AI analyzes detected errors, determines appropriate corrections, and generates fixed scripts, serving as a intelligent mediator that bridges detection and resolution while maintaining system reliability.
2Speed
If hardcoded values are used in scripts, then script execution speed is improved, but adaptability to dynamic data decreases
Solution Approach 1:
The system dynamically transforms static hardcoded values into dynamic data retrieval operations. Instead of using fixed values, the corrected scripts automatically retrieve current dynamic data from the application under test, enabling the scripts to adapt to changing application states while maintaining execution efficiency through automated data capture.
Solution Approach 2:
The invention changes the parameter state of script data from static (hardcoded) to dynamic (retrieved). By replacing fixed values with operations that retrieve current data from the application, the system maintains execution speed while gaining adaptability to dynamic application states.
3Quantity of substance
If dynamic data is generated through brute force methods, then data availability is improved, but processing and network resources are wasted
Solution Approach 1:
Instead of generating dynamic data through resource-intensive brute force methods, the system copies actual dynamic data directly from the application under test. The corrected scripts retrieve and use real data values that the application naturally generates, eliminating wasteful resource consumption while maintaining data availability and authenticity.
Data Source
AI summary
Computer-interpreted scripts (“scripts”) execute instructions, such as to serve as a client in a client-server application. However, scripts may contain hardcoded temporary values that expire and, as a result, cause replaying the script to fail. By identifying the problem (e.g., an error message), gathering data available, and generating a prompt to a large language model (LLM), a resolution to the error may be provided and results in a modified script. Optionally, the resolution is evaluated, such as to correct any hallucinations of the LLM. A replay engine then replays the modified script and, if successful, the error is resolved. In one embodiment, the error is a hardcoded value that is no longer valid. Such a value is detected and replaced with a variable having a value determined form preceding operations of the script.