Functional Documentation Module for Selective URL Testing
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Solution Overview
Problem
Conventional software application testing tools require executing the entire suite of tests every time a change is made, leading to increased testing time, resource wastage, and delayed feedback for developers, as they are not optimized for complex applications and often hinder production issue diagnosis.
Innovation Solution
Implementing a functional documentation module that creates a uniform resource locator (URL) using processors and memories, allowing for easy-to-read documentation, independent testing of new URLs, and reutilization of components without rearchitecting the entire application, thereby reducing resource and memory utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional testing tools execute the entire suite of tests every time a change is made, then comprehensive testing coverage is achieved, but testing time significantly increases and developer feedback is delayed
Solution Approach 1:
The patent segments the monolithic test suite into individual, independently executable test cases. Each test case can be run separately based on the specific change made, rather than executing all tests. This allows selective testing of only relevant portions of the codebase, reducing overall testing time while maintaining necessary coverage.
Solution Approach 2:
The patent implements partial testing by allowing developers to run only the subset of tests relevant to the specific change made. Instead of executing the complete test suite (excessive action), the system identifies and runs only the necessary tests (partial action), thereby reducing testing time while maintaining adequate verification coverage.
2Reliability
If conventional testing tools execute the entire suite of tests every time a change is made, then all potential issues are detected, but computer resources are wasted on build servers
Solution Approach 1:
The patent divides the comprehensive test suite into modular, independently executable test cases. This segmentation allows the system to run only the necessary subset of tests based on the specific change, rather than executing all tests. Consequently, computer resources are conserved by avoiding execution of unrelated test cases while still detecting all issues relevant to the change.
Solution Approach 2:
The patent changes the execution parameter from running the complete test suite to running a selectively filtered subset of tests. By dynamically adjusting which tests are executed based on the nature and scope of the change, the system maintains effective issue detection while reducing unnecessary consumption of computer resources.
3Adaptability or versatility
If multiple programming languages and design patterns are used in a software application, then functionality and flexibility are improved, but code complexity and testing difficulty increase
Solution Approach 1:
The patent creates a universal testing framework that can handle multiple programming languages and design patterns through a common interface. The functional documentation module and test case structure are language-agnostic, allowing the same testing mechanism to work across different languages (Python, JSON, etc.) and patterns, thereby managing complexity while preserving functionality.
Solution Approach 2:
The patent introduces functional documentation as an intermediary layer between the diverse codebase (multiple languages and patterns) and the testing mechanism. This intermediary provides a standardized way to describe and test functionality regardless of the underlying implementation language or pattern, simplifying the testing process while maintaining support for multiple programming approaches.
4Productivity
If ETL tools are used for batch processing, then data processing capability is achieved, but the system cannot be used for Web application processing
Solution Approach 1:
The patent creates a universal functional documentation module that serves multiple purposes: it works for both batch processing (ETL) and web application processing. The same core infrastructure and testing mechanisms are used across different application types, eliminating the need for separate tooling while maintaining specialized capabilities for each processing mode.
Data Source
AI summary
Various methods, apparatuses/systems, and media for implementing a functional documentation module are disclosed. A repository stores a list of URLs corresponding to one or more applications and a list independently executable programming languages for running an application. A receiver receives a request for creating a new URL. A processor causes a GUI to display selectable URLs from the list of URLs, selectable components from the list of independently executable programing languages, and a functional documentation; creates the new URL by selecting one or more desired URLs from the selectable URLs based on analyzing the functional documentation; independently tests only the created new URL for running the application without testing the selectable URLs and their underlying components; and updates the repository with the new URL based on a positive test result.