I. Automated Testing Engine
Integrates interface testing management and UI testing management modules to achieve full-process automation testing and reduce manual intervention.
1. Interface Testing Management
· Three-tier architecture: “Message – Interface – Case” visual orchestration, compatible with mainstream financial protocols.
· Intelligent parsing: Supports XML, JSON message formats to ensure precise data validation.
· Asset reuse: Builds an enterprise-level interface asset library, enabling seamless reuse across projects and eliminating redundant design.
· Case-driven approach: Visually orchestrates complex data-driven tests, with support for debugging and multi-dimensional configuration.
2. UI Testing Management
· Three-layer control: Based on the POM model, establishes a “Keyword – Page – Case” management system.
· Intelligent element recognition: Combines multi-attribute dynamic positioning, encapsulates 30+ zero-code commands, enhancing stability, adapting to complex scenarios, and lowering usage barriers.
· Page management: Centralized management of UI pages and element libraries, with copy support to ensure consistency.
· Case orchestration: Provides a visual canvas for case assembly, with breakpoint debugging and rerun capabilities to reduce repetitive operations.
II. Scenario-Based Task Orchestration
Provides a task orchestration engine for refined test management:
1. Covers core test types such as smoke testing, validation testing, regression testing, and pre-production verification.
2. Custom execution flows: Supports serial and grouped parallel orchestration according to business logic dependencies.
3. Diverse scheduling strategies: Meets triggering requirements in different scenarios.
III. Multi-Environment Collaborative Management
Addresses challenges of parallel collaboration across multiple environments with professional management solutions:
1. System tree & project management: Clearly defines business system architecture, links test projects with environments, and standardizes environment parameter configurations.
2. Case synchronization mechanism: Supports “partial synchronization” and “full synchronization,” intelligently skipping duplicate cases, improving synchronization efficiency by over 80%.
3. Dynamic data switching: Uses parameterization to separate test cases from data, enabling seamless case switching across environments.
IV. Componentized Case System
Maximizes reuse value of testing assets and reduces maintenance costs:
1. Reusable public components: Establishes a shared message and function library with over 90% reuse rate, ensuring consistency.
2. Cross-scenario case reuse: Supports case copying and adaptation, requiring only minor parameter adjustments for cross-project reuse, reducing maintenance costs by over 60%.
V. Distributed Execution & Monitoring
Adopts a distributed architecture to optimize resource utilization and task execution:
1. Elastic execution framework: Dynamically manages execution nodes, scaling up or down as needed to control resource costs.
2. Automated synchronization: Script updates are automatically synchronized across all execution nodes to ensure version consistency.
3. Centralized monitoring: Displays real-time execution status, load, and task details, with intelligent scheduling for load balancing.
4. Flexible triggering: Supports manual triggers (for ad-hoc scenarios) and scheduled triggers (for regular tasks).
5. Efficient execution: Provides both serial mode (ensuring business flow dependencies) and parallel mode (shortening testing cycles).
VI. Multi-Dimensional Analytics Dashboard
Builds a four-dimensional analysis system (“User – System – Task – Asset”) to empower data-driven decision-making:
1. User dimension: Tracks case design progress and debugging success rate to evaluate personnel efficiency.
2. System dimension: Monitors test frequency and pass rates, identifying quality risks and weaknesses.
3. Task dimension: Analyzes key task pass rates and execution time, optimizing scheduling strategies.
4. Asset dimension: Focuses on script reuse rates to guide asset optimization and improve ROI.
VII. Intelligent Data Factory
Solves test data challenges and adapts to both automated and manual testing:
1. Dynamic generation: Creates compliant test data that meets business rules using multiple methods.
2. Environment adaptation: Automatically adapts to different environments’ data sources and rules.
3. Data pool management: Provides full lifecycle management of pre-set test data, reducing manual effort and errors.
VIII. Fine-Grained Permission Control
Builds a precise permission system in line with financial compliance requirements:
1. User management: Supports full lifecycle operations, binding users to roles for separation of duties and auditability.
2. Role and permission control: Enables custom roles, with menu, operation, and data-level permission granularity, implementing the “least privilege principle.”
3. Unified management: Integrates with offline organizational structures for department management, and centrally maintains basic system data dictionaries to ensure data standardization.
