Automated Attribution Testing Across Terminals for Installation Channels
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Solution Overview
Problem
Existing pre-installation attribution testing for applications is cumbersome, error-prone, and costly due to manual operations and lack of automated, efficient methods for accurately identifying installation channels.
Innovation Solution
An automated attribution test method and apparatus that uses a first terminal to send control instructions to a second terminal for attribution detection, generating and receiving detection results to produce accurate attribution test results for applications installed on the second terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operations are used for attribution testing, then the process can be completed with simple tools, but the testing efficiency is low and error rate is high
Solution Approach 1:
The system enables automated self-testing through pre-configured test scripts that automatically execute attribution detection, collect results, and generate reports without requiring manual tester intervention for each test case
Solution Approach 2:
Manual mechanical operations (clicking, navigation, data collection) are replaced by an automated testing system that uses control instructions to orchestrate the testing process across multiple terminals, substituting human labor with programmable automation
2Measurement precision
If manual attribution testing is performed, then communication costs are reduced, but the accuracy and comprehensiveness of test results deteriorate
Solution Approach 1:
A centralized testing system acts as an intermediary that coordinates between multiple terminals, aggregating attribution data from various sources and consolidating communication interactions to reduce overall communication overhead while improving measurement accuracy
Solution Approach 2:
The system creates virtual copies of testing scenarios across multiple terminals, allowing parallel execution of identical test cases without requiring proportional increases in communication resources, thereby improving accuracy through repeated measurements without linearly increasing costs
3Productivity
If automated testing is implemented, then testing efficiency improves, but the complexity of the testing system increases
Solution Approach 1:
The automated testing system is designed with universal components that can handle multiple test scenarios and attribution detection methods through a unified interface, reducing overall system complexity despite the automation capabilities
Solution Approach 2:
The testing system is divided into modular functional segments (control instruction module, detection module, result processing module) that can be independently configured and executed, making the automated system more manageable and less complex than a monolithic approach
Data Source
AI summary
Embodiments of the present disclosure provide an attribution test method and apparatus, an electronic device, a storage medium, and a system. The method includes: sending a preset control instruction to a second terminal, wherein the preset control instruction is used to instruct the second terminal to perform attribution detection on an installation channel of an application to be tested and generate an attribution detection result, and the application to be tested is installed in the second terminal; receiving the attribution detection result that is returned by the second terminal in response to the preset control instruction; and generating, based on the attribution detection result and an expected detection result for the application to be tested, an attribution test result for the application to be tested.