Automated Issue Reporting System for Software Bug Analysis
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Solution Overview
Problem
Users face difficulties in submitting accurate issue reports due to the need for manual screenshot capturing and log retrieval from backend systems, which can be time-consuming and prone to errors.
Innovation Solution
A system that automates issue reporting by using HTML5, browser extensions, and canvas technologies to capture in-browser screenshots and server logs, generating issue tickets with relevant information, and providing a user-friendly interface for submission, thereby eliminating the need for external software and manual data composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual screenshot capturing and log retrieval methods are used, then users can submit issue reports, but the process is time-consuming and prone to errors
Solution Approach 1:
The system performs preliminary actions by automatically capturing screenshots and retrieving server logs in advance, storing them ready for issue reporting. This eliminates the need for users to manually collect this data when an issue occurs, significantly reducing the time required for issue reporting while maintaining complete and accurate information.
2Ease of operation
If external software and operating-system-specific screen capturing functionality are used, then screenshots can be captured, but the process becomes complex and requires multiple tools
Solution Approach 1:
The system merges multiple functions (screenshot capture, log retrieval, issue report generation) into a single integrated web-based system. Users no longer need external screenshot software or manual log retrieval processes; everything is combined into one unified interface that automatically collects and submits all necessary information through a single issue reporting mechanism.
3Reliability
If manual issue report composition is used, then users can provide information to customer care, but accuracy and completeness are compromised
Solution Approach 1:
The system implements feedback mechanisms where captured screenshots and server logs are automatically associated with the corresponding issue report. This feedback loop ensures that all pertinent information is systematically collected and attached to the correct issue, eliminating manual errors and ensuring complete, accurate information is provided to customer care and engineers for reliable issue analysis.
Data Source
AI summary
A method for automating the submission of issue reports includes automatically capturing information and images related to a software user, receiving a request from the user involving an issue experienced by the user, evaluating the request and the user information and images, generating a unique identifier that matches a response received by the user when making the request to associated server log information, generating an issue report based on the user information and images, server log information, and the generated unique identifier, and generating a ticket associated with the issue report that may be communicated to an external system. The user request information and images, server log information, and unique identifier may be stored in a database or data repository. The user information and images and server log information may be automatically encrypted. A system for automating the submission of issue reports is also described.