Automated Web Service Code Testing via Response Comparison
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Solution Overview
Problem
The increasing complexity and frequency of updates in web service programming code require efficient and reliable automated testing to ensure proper functioning across various client devices and networks, as existing methods are often manual and time-consuming.
Innovation Solution
A system and method for automatically testing web service programming code by generating and processing large numbers of web service requests using a test server, comparing responses from production and new code versions, and identifying differences to determine functionality and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual testing methods are used for web service code, then testing can be performed with simple tools, but testing efficiency is low and time consumption is high
Solution Approach 1:
The system enables automated self-testing of web service code through a test engine that automatically generates test requests, executes them against the web service, and compares results without requiring manual intervention. The system serves itself by autonomously performing the complete testing workflow.
Solution Approach 2:
The patent replaces manual mechanical testing operations with an automated electronic testing system. The test engine automatically generates test requests, transmits them through the network to the web service, and processes responses computationally, substituting human manual operations with automated electronic processes.
2Adaptability or versatility
If web service code is updated frequently with complex features, then new functionalities are provided to users, but testing reliability becomes more difficult to ensure
Solution Approach 1:
The test engine is designed with universal functionality to handle diverse web service code updates and complex features. It can generate various types of test requests, adapt to different web service interfaces, and perform multiple testing operations through a single unified system that works across different scenarios.
Solution Approach 2:
The system implements feedback mechanisms by comparing test responses from updated code against expected results. The test engine receives responses from the web service, automatically analyzes them, and provides feedback on whether the updates maintain proper functioning, enabling continuous verification of reliability.
3Reliability
If automated testing system generates and processes large numbers of web service requests, then testing coverage is improved, but system complexity increases
Solution Approach 1:
The testing system is segmented into distinct functional components: a test engine for generating and managing test requests, a response analysis module for processing results, and a comparison mechanism for verifying outcomes. This segmentation allows the system to handle large numbers of requests through specialized subsystems rather than a monolithic complex structure.
Data Source
AI summary
The testing of programming code for a web service, such as code for a web service application program or for a web service application programming interface (API), is automatically performed. A set of web service requests is generated based on potential input values for fields of the requests that are included in a spreadsheet. The web service requests are firstly processed via execution of a production version of the programming code to generate a set of production web service responses, where the production version of the programming code is assumed to generate accurate web service responses. The web service requests are then processed via execution of a new version of the programming code to generate a set of new web service responses. The web service responses of the new and production sets are compared to determine whether the new version of the programming code functions accurately.