Resource Inspection System for Translated Application Binary Files
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Solution Overview
Problem
Traditional resource systems lack the capability to determine whether the functionality of translated resources in a graphical user interface (GUI) differs from the base language resources, leading to potential operational issues and overburdened computing resources due to manual comparison and limited quality assurance.
Innovation Solution
A resource inspection system that executes binary resource files at runtime to inspect the functionality of translated resources, detecting visual and functional differences and automatically modifying them to ensure consistency with the base language resources, thereby eliminating manual correction processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual comparison of resource-definition files is performed to ensure translation correctness, then translation quality can be verified, but computing resources become overburdened and unavailable
Solution Approach 1:
The patent replaces manual mechanical comparison processes with automated computational systems. The resource inspection system automatically executes binary resource files and compares functionality between base language and translated language resources, eliminating the need for manual file-by-file comparison while reducing computing resource overhead through efficient automated testing.
Solution Approach 2:
The resource inspection system performs self-verification by automatically executing and testing translated resources against defined criteria. The system autonomously identifies functional differences, generates inspection reports, and notifies relevant personnel without requiring continuous manual intervention or overburdening computing resources with perpetual monitoring.
2Measurement precision
If traditional resource systems test resource-definition files to ensure translation correctness, then translation accuracy can be verified, but the functionality of translated resources in the application window cannot be determined
Solution Approach 1:
The patent transitions from testing only the textual content of resource-definition files to a multi-dimensional approach that includes executing the actual application with translated resources and observing functional behavior. This adds the dimension of runtime functionality testing to the traditional static file comparison method, enabling comprehensive verification of both translation correctness and functional equivalence.
Solution Approach 2:
The resource inspection system performs preliminary functionality verification by executing binary resource files before final deployment. The system proactively identifies potential functional differences between base language and translated language resources, allowing corrections to be made before the translated application is released, thus preventing functional issues from reaching end users.
3Ease of manufacture
If strings in resource-definition files are manually replaced with translations, then translation can be implemented, but quality assurance capabilities are limited and manual comparison to detect missing resources is required
Solution Approach 1:
The patent implements a feedback mechanism where the resource inspection system automatically tests translated resources and provides detailed reports on functional differences, missing resources, and translation errors. This feedback loop enables translators and developers to quickly identify and correct issues without manually comparing files, significantly simplifying the quality assurance process while maintaining comprehensive coverage.
Solution Approach 2:
The resource inspection system acts as an intermediary between the translation process and quality verification. It automatically executes the application with translated resources, compares functionality against the base language version, and provides structured feedback on any discrepancies. This intermediary system eliminates the need for manual comparison while maintaining thorough quality assurance.
Data Source
AI summary
A processing device identifies an application that is in a first language and has a first binary resource file that includes first resource data for a first set of resources of the application in the first language, determines that the application is translated into a second language and has a second binary resource file that includes second resource data for a second set of resources of the application in the second language, determines differences between functionality of the second set of resources of the application in the second language and functionality of the first plurality of resources of the application in the first language based on the first binary resource file and the second binary resource file, and modifies one or more of the second plurality of resources of the application in the second language based on at least one of the differences between the functionality of the second plurality of resources and the functionality of the first plurality of resources of the application.


