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Test Automation

Keysight Eggplant

AI-driven test automation that predicts and prevents defects before release

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Category
Software
Ideal For
Enterprises
Deployment
Cloud / On-premise / Hybrid
Integrations
None+ Apps
Security
Role-based access control, audit logging, encrypted data transmission, compliance-ready architecture
API Access
Yes - comprehensive REST API for custom integrations and workflow automation

About Keysight Eggplant

Keysight Eggplant is an intelligent test automation platform that leverages advanced AI and machine learning to revolutionize software quality assurance. The platform evaluates entire user journeys across web, mobile, and desktop applications, automatically identifying defects, predicting potential issues, and preventing quality problems before they impact customers. Eggplant combines visual recognition with intelligent automation to reduce testing time, accelerate release cycles, and enhance overall product quality. Organizations benefit from comprehensive test coverage, faster feedback loops, and reduced manual testing effort. When deployed through AiDOOS, Eggplant's automation capabilities scale seamlessly across enterprise infrastructure, enabling organizations to govern testing policies, integrate with existing CI/CD pipelines, optimize resource allocation across test environments, and maintain consistent quality standards across distributed teams and geographies.

Challenges It Solves

  • Manual testing creates bottlenecks and delays software releases
  • Defects escape to production causing customer impact and brand damage
  • Testing scripts break with UI changes requiring constant maintenance
  • Quality assurance teams struggle with comprehensive test coverage
  • Organizations cannot predict quality issues before they reach users

Proven Results

64
Faster release cycles with automated regression testing
48
Reduction in production defects and escaped bugs
35
Lower testing costs through intelligent automation

Key Features

Core capabilities at a glance

AI-Powered Visual Recognition

Identify UI elements without brittle script dependencies

Tests remain stable across UI changes and updates

Intelligent Test Automation

Machine learning-based test generation and execution

70% reduction in manual test case creation time

Predictive Defect Analytics

Identify and prevent quality issues before production

Catch 80% of potential defects during testing phase

Cross-Platform Coverage

Unified testing across web, mobile, and desktop

Single automation framework supports all platforms

CI/CD Pipeline Integration

Seamless integration with development workflows

Continuous quality feedback in every build cycle

Test Optimization Engine

Intelligent test selection and prioritization

30% faster test execution with targeted coverage

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Real-World Use Cases

See how organizations drive results

Continuous Integration Testing
Automate regression testing in CI/CD pipelines to validate every code commit. Eggplant integrates with Jenkins, GitLab, and GitHub to provide immediate quality feedback without slowing development velocity.
64
Automated testing in every build cycle
Mobile Application Quality Assurance
Test iOS and Android applications across devices and OS versions with AI-powered visual recognition. Identify platform-specific issues and user experience problems before release.
72
Cross-device testing without manual effort
Digital Experience Validation
Monitor and validate critical user journeys across web and mobile touchpoints. Ensure consistent customer experiences across channels and deployments.
58
End-to-end user journey validation automated
Legacy System Testing
Maintain quality standards for legacy applications without rewriting test automation. Visual recognition technology works with systems lacking modern API capabilities.
45
Legacy system testing without script rewrites
Enterprise Release Management
Coordinate complex release testing across multiple applications and teams. Eggplant provides centralized test orchestration, result tracking, and quality gates.
68
Coordinated multi-application release validation

Integrations

Seamlessly connect with your tech ecosystem

J

Jenkins

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Native integration for CI/CD pipeline automation and continuous testing feedback

G

GitLab

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Seamless GitLab CI integration for automated testing on every commit

A

Azure DevOps

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Complete integration with Azure pipelines for enterprise testing workflows

J

Jira

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Bi-directional integration for defect tracking and test result correlation

S

Slack

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Real-time notifications for test results and quality alerts

S

ServiceNow

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Enterprise change management integration for quality gate enforcement

S

Sauce Labs

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Cloud device lab integration for distributed testing across environments

D

DataDog

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APM integration for correlation of test results with production performance

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

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Alternatives & Comparisons

Find the right fit for your needs

Capability Keysight Eggplant ModelOp MLReef PlanPost AI
Customization Excellent Excellent Excellent Good
Ease of Use Good Good Good Excellent
Enterprise Features Excellent Excellent Excellent Good
Pricing Fair Fair Fair Fair
Integration Ecosystem Excellent Excellent Excellent Good
Mobile Experience Excellent Fair Fair Good
AI & Analytics Excellent Excellent Excellent Excellent
Quick Setup Good Good Good Excellent

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Frequently Asked Questions

How does Eggplant's AI improve test automation compared to traditional script-based tools?
Eggplant uses machine learning to understand UI elements visually rather than relying on brittle code selectors. This means tests remain stable across UI changes, require 60% less maintenance, and automatically adapt to application updates without script modifications.
Can Eggplant test legacy applications without modern APIs?
Yes. Eggplant's visual recognition technology works with any application—legacy systems, packaged software, or modern web apps. It captures what users see and interact with, making it ideal for systems lacking comprehensive API documentation.
How does AiDOOS deployment enhance Eggplant's capabilities?
AiDOOS provides enterprise governance, centralized policy management, seamless CI/CD integration, and distributed test execution across your infrastructure. Organizations gain scalability, resource optimization, and consistent quality standards across teams and deployments.
What's the typical implementation timeline for Eggplant?
Initial setup and pilot testing typically takes 2-4 weeks. Full enterprise rollout with CI/CD integration and team training takes 6-12 weeks depending on organizational complexity and testing scope.
Does Eggplant support testing across multiple platforms and devices?
Absolutely. Eggplant provides unified automation for web, iOS, Android, and desktop applications. A single test script can run across platforms, with intelligent adaptation for platform-specific behaviors and UI variations.
How does Eggplant integrate with our existing development tools?
Eggplant offers native integrations with Jenkins, GitLab, Azure DevOps, Jira, and 50+ other platforms. The comprehensive REST API enables custom integrations with proprietary systems and workflows specific to your organization.