Intelligent Game Testing Agents for Cross-Game Bug Detection
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Solution Overview
Problem
Conventional video game testing tools are game-specific, lack scalability, and fail to capture realistic gameplay inputs, requiring substantial resources and specialized knowledge for effective testing.
Innovation Solution
An intelligent agent platform that deploys intelligent agents across different games and game engines, capturing realistic gameplay data through external interaction, and facilitates the design, deployment, and sharing of intelligent agents using a unified architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional automated testing tools are designed specifically for a game and executed within the video game application, then the tool can detect programming bugs and latency issues, but the tool fails to capture realistic gameplay inputs and lacks scalability to other games
Solution Approach 1:
The testing tool is designed with a universal architecture that can function across multiple video games. The system uses a standardized interface layer that sits between the test execution engine and the game application, allowing the same testing framework to adapt to different games without requiring game-specific customization. This enables the tool to maintain bug detection accuracy while gaining scalability to other games.
Solution Approach 2:
An intermediary testing layer is introduced that captures input signals at the system level before they reach the game application. This mediator component records controller inputs, keyboard presses, and other user interactions in a standardized format, allowing the testing tool to analyze realistic gameplay inputs without being embedded within the specific game code. This intermediary approach enables both accurate bug detection and cross-game compatibility.
2Reliability
If conventional automated testing tools execute within the video game application, then the tool can access game internal state, but the tool requires specialized knowledge of the game being tested and dedicated computing resources
Solution Approach 1:
The testing functionality is extracted from the game application itself and placed in a separate, independent testing system. The tool captures game state information through external observation of the application's output and behavior rather than requiring direct access to internal game code and data structures. This extraction eliminates the need for specialized knowledge of each specific game while maintaining testing reliability through observable behavior analysis.
Solution Approach 2:
The testing tool automatically generates test cases and executes testing procedures without requiring manual configuration or deep understanding of the game being tested. The system self-adapts to different games by observing their behavior patterns and automatically adjusting testing parameters, reducing the need for specialized knowledge and dedicated computing resources while maintaining effective testing.
3Measurement precision
If human testers play the game repetitively to collect observational testing data, then the testers can uncover bugs that occur under certain conditions, but substantial resources are required and even large teams may fail to detect certain difficult-to-find bugs
Solution Approach 1:
The automated testing system executes test cases continuously without interruption, running repetitive testing cycles that exhaustively cover all possible game states and input combinations. Unlike human testers who require breaks and cannot maintain consistent attention, the automated system provides continuous testing, significantly improving both the depth of bug detection and overall testing efficiency by eliminating idle time and human limitations.
Solution Approach 2:
The mechanical process of human testers manually playing the game is replaced with an automated computer-based testing system. The automated tool executes precise, repeatable test sequences that systematically explore game conditions, replacing the inefficient mechanical action of human gameplay with automated script execution. This substitution dramatically improves productivity while maintaining or enhancing bug detection capability through exhaustive systematic testing.
Data Source
AI summary
A computing system executing an intelligent agent application is provided. The intelligent agent application facilitates configuration and deployment of an intelligent agent to perform certain acts related to video game testing. The intelligent agent application may configure and deploy an intelligent agent based upon an intelligent agent deployment request comprising one or more tasks to be performed by an intelligent agent. The intelligent agent application causes an intelligent agent to interact with a testing computing system executing a video game application and perform the one or more tasks. The intelligent agent captures testing data indicative of the interaction with the video game application. The testing data is optionally enhanced and stored for further analysis.