AI Powered

All-in-One Automation Platform

ZeuZ unifies and empowers automation efforts across web, mobile, desktop, API, Database, IOT, Load/Performance testing allowing teams to leverage one robust platform for complete coverage.

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Cross-Browser WEB Testing Power

Automate across popular web browsers like Chrome, Edge, Firefox, Safari, and Opera for unmatched testing reach.

Key Capabilities

  • Cross-Browser Compatibility: Supports automated testing on Chrome, Edge, Firefox, Safari, and Opera.
  • Responsive Testing: Checks layouts and components across different screen resolutions and device viewports.
  • Browser-Specific Scripting: Allows for custom scripts tailored to each browser's unique behaviors or limitations.
  • Automated Browser Updates: ZeuZ adapts to the latest browser versions, ensuring compatibility without manual intervention.
  • Localization Testing: Verifies the application's functionality in different languages and regions.
  • Parallel Test Execution: Run tests across multiple browsers simultaneously to speed up validation.

AI Enhancements

  • AI Scenario Generator: Dynamically creates browser-specific testing scenarios, maximizing coverage and ensuring thorough testing across environments.
  • AI Test Generator: Auto-generates cross-browser test cases with minimal setup, covering typical and edge-case browser behaviours.
  • AI Test Step Guidance: Offers real-time tips for handling unique browser actions or potential issues, making cross-browser testing more efficient.

Mobile Platform Coverage

Extend automation to mobile, testing on Chrome for Android and Safari for iOS, capturing real-world user experiences.

Key Capabilities

  • Mobile Browser Automation: Supports testing on mobile browsers with distinct scripting for Android and iOS environments.
  • Device Emulation: Simulates different mobile devices to test how applications respond to varying screen sizes, orientations, and hardware specifications.
  • Cross-Platform Consistency: Ensures applications behave consistently across mobile OS platforms.
  • Real-Device Cloud Integration: Option to test on physical devices hosted on cloud platforms, capturing accurate user experiences.
  • Touch Gesture Support: Automates gestures like swipe, pinch, and zoom, essential for mobile user interfaces.

AI Enhancements

  • AI Scenario Generator: Quickly creates test scenarios that mirror mobile usage patterns, including touch gestures and orientation shifts.
  • AI Test Step Guidance: Provides intuitive guidance for simulating mobile gestures accurately, ensuring tests capture realistic user interactions.
  • AI Release Report: Summarizes mobile test outcomes, flagging any performance or UI discrepancies unique to mobile environments.

DESKTOP Versatility

Seamless desktop testing support on Windows, Mac, and Linux—enabling cross-environment validation.

Key Capabilities

  • OS-Specific Testing: Tailors test scripts to the nuances of each OS, supporting applications that may behave differently on various desktops.
  • Cross-Environment Test Scripting: Enables consistent automation across environments while customizing for specific OS functions.
  • File System Access and Validation: Automates tasks involving file downloads, uploads, and data handling across different OS file systems.
  • Native App Support: Extends testing to native desktop applications alongside browser-based testing.
  • Network Simulation: Tests application performance across different network types to ensure robustness under varied conditions.

AI Enhancements

  • AI Test Assistant: Highlights common OS-specific issues, making it easier for teams to adjust and focus on cross-environment testing.
  • AI Release Report: Generates detailed reports on desktop test results, identifying issues that may be specific to each operating system.

Effortless API Testing

Test complex APIs with support for HTTP, REST, GraphQL, and more, handling headers, cookies, and certificate verification.

Key Capabilities

  • Multi-Protocol Support: Automates testing across REST, SOAP, and GraphQL APIs, with comprehensive coverage for various web services.
  • Parameterization and Data Injection: Allows dynamic input of parameters to test various scenarios within a single API.
  • Advanced Header and Cookie Management: Tests APIs with custom headers, cookies, and session handling.
  • API Chaining: Supports sequential testing by chaining API requests, maintaining session data through each test step.
  • Comprehensive Response Validation: Verifies response structures, status codes, and data types for robust validation.

AI Enhancements

  • AI Test Explainer: Provides a clear explanation of complex API workflows and dependencies, making it easier for teams to understand test flows.
  • AI Test Generator: Creates varied API test cases, quickly adapting to different API structures and input parameters.
  • AI Release Report: Offers a summary of API testing results, emphasizing endpoints that failed or presented inconsistencies.

Real-World LOAD Simulation

Powerful load testing capabilities mimic user traffic to validate application stability and performance at scale.

Key Capabilities

  • Traffic Simulation: Mimics user behavior, transaction types, and data patterns to stress-test applications.
  • Concurrent User Load: Tests system performance by simulating multiple concurrent users.
  • Network Variability: Simulates diverse network conditions, helping to gauge application performance under different internet speeds and latencies.
  • Spike and Soak Testing: Conducts high-load burst tests to check resilience and long-duration tests for memory and CPU usage stability.
  • Detailed Performance Reporting: Provides insights into response time, latency, error rates, and bottlenecks for efficient performance analysis.

AI Enhancements

  • AI Release Report: Compiles a detailed summary of load test results, highlighting areas that need performance improvement.
  • AI Test Assistant: Offers insights on optimizing performance testing by identifying likely bottlenecks based on previous results

DATABASE Integration for Real-World Scenarios

Connect directly to SQL databases (PostgreSQL, MariaDB, MySQL, Oracle) and NoSQL (MongoDB) using ODBC, facilitating realistic test conditions.

Key Capabilities

  • Direct SQL Query Execution: Run SQL statements directly from the test scripts, verifying backend data integrity.
  • Data Comparison and Validation: Cross-checks application data with database records, ensuring accurate data processing.
  • Database State Management: Sets up initial database states, enabling scenario-based testing that reflects real-world data conditions.
  • Transaction Testing: Validates atomicity and data rollback features, essential for financial or transactional systems.
  • ODBC and Native Driver Support: Ensures compatibility with multiple databases, enhancing integration flexibility.

AI Enhancements

  • AI Scenario Generator: Creates testing scenarios based on different database states and expected data flows, ensuring thorough coverage.
  • AI Release Report: Highlights any discrepancies or inconsistencies detected in database testing, helping teams prioritize data validation tasks.

IoT Testing

Testing of IoT devices and applications across multiple protocols and environments.

Key Capabilities

  • Protocol Support for IoT: Tests devices and applications using MQTT, CoAP, HTTP, and other IoT protocols.
  • Device Emulation and Simulation: Creates virtual devices to simulate IoT network behaviors and traffic.
  • Data Stream Validation: Monitors and verifies data transmitted between IoT devices, ensuring real-time communication reliability.
  • End-to-End Workflow Testing: Validates the entire IoT ecosystem, from data generation to cloud storage and app interface.
  • Security and Authentication Testing: Ensures secure communication, validating encryption, tokenization, and user authentication protocols.

AI Enhancements

  • AI Test Generator: Automatically generates IoT-specific test cases, adjusting for device protocols and data flows.
  • AI Test Step Guidance: Provides real-time advice on handling device-specific actions or network variations unique to IoT environments.

FAQ

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