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Software Testing
Test any application or user interface with AI-powered software test automation
Quality at Speed Depends on Software Test Automation
Software test automation is key to unlocking continuous integration and continuous delivery (CI / CD) workflows. As software release cycles grow shorter, traditional testing creates bottlenecks that put your team behind schedule.
Eggplant offers turnkey integration with a range of CI / CD tools — including Jenkins, Azure DevOps, and GitHub Actions. Our drag-and-drop GUI makes it easy to set up your deployment tool to automatically test your code on check-in.
Forget about custom coding and complex open-source deployments. With Eggplant, you can find defects faster, accelerate releases, and improve software quality.
50%
faster test case setup and deployment time
3x
quicker functional test case execution
19M
tests can be run per year on your e-commerce site
75%
of all regression tests can be automated
Explore Our Software Testing Solutions
AI-powered software test automation can help speed releases, streamline regression testing, improve testing accuracy, and test responsive user experiences at scale.
What Can You Do With Software Test Automation?
Automate Regression Testing Across Any Device or System
Make sure your applications, digital services, and website work across every browser, operating system, and device. Eggplant's AI-powered software test automation offers model-based testing to optimize user experience across clouds, mobile devices, and desktops — giving you a holistic look at application performance.
Continuous Testing for Application Releases
Shift left and continuously test software releases with Eggplant. Our drag-and-drop interface and scalable test integration framework helps you maintain a library of automated test scripts in CI / CD pipelines — enabling you to identify defects faster and accelerate releases.
Automate UI Testing with Visual Verification
Eggplant tests your application using optical character recognition (OCR) and computer vision. This enables testers to specifically test what customers see when interacting with the application or system. Software test automation from the user’s point of view allows testers to spot UI glitches before customers can.
Predictive Application Performance Monitoring
Continuously monitor website and application performance with Eggplant. Synthetic / active monitoring makes it easy to pinpoint performance problems, improve customer experiences, and maximize conversions.
QA Automation for Mobile Application Testing
Take charge of mobile user experience with Eggplant. With low / no-code mobile app testing, you can accelerate deployment and ensure top-quality experiences across every operating system, network, and device.
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The Ultimate AI Testing Playbook
The pressure to release updates faster is greater today than ever to keep up with customer expectations. DevOps and continuous testing should provide the answer to keeping up with the pace of change, but unless testing teams harness everything these ways of working have to offer, they aren’t enough.
As this playbook explains, the key to success is adding AI testing to the toolkit.
Unlocking AI: the key to QA software test automation
Software test automation allows quality assurance (QA) teams to provide feedback and spot bugs earlier in the development process, but it requires high levels of human maintenance to stay operational.
Enter AI. By examining vast amounts of data to identify optimized test cases, AI streamlines the regression testing and test script creation process for low maintenance and high-quality continuous testing. DevOps and testing teams no longer must decide between delaying a software release or conducting all the necessary tests to ensure quality, bug-free software. Learn how AI can revolutionize QA automation testing today.
How to Implement Software Test Automation: The QA Leader’s Guide
When software development is moving at breakneck speed, with top companies deploying software multiple times per day, automation is the key to keeping up with the pace of innovation.
Implementing automation does not need to be difficult. Get the comprehensive 30-60-90-day automation plan for QA leaders looking to champion an automation strategy for their teams. This asset outlines the steps to successfully implement QA automation in today's software development landscape.
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“...our implementation of test automation provided significant relief during the recent challenges with Covid-19. Eggplant is core to the capability, and we are excited by the use of AI within the product to optimize execution paths and hunt down defects.”
Mike Friedel, Sr. Director Retail Customer Solutions, Albertsons
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“Eggplant enabled the team to move from completing a 10-hour test event every three days to running a 24-hour test event every day.”
US Army
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“We are amazed by the engagement and no other vendor comes close to providing the support that Eggplant delivers.”
Michelle divecchis, quality assurance manager, sheetz
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“...we succeeded in reducing the man-hours of the entire testing process by 92% compared to those required by conventional manual testing.”
Ms. Mio Azuma, Researcher, FUJIFILM Software Co
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“Eggplant’s UI and image-based testing, along with automation, were well-received by our team. Experienced testers that didn’t have much automation experience and testers that didn’t have extensive programming experience both appreciated how the solution could complement their abilities and improve the way they work.”
YeonJin Jin, Automation Engineer, Line Corporation
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Frequently asked questions - Software Testing
Software testing is the process of evaluating and verifying that a software product or application meets its specified requirements and performs its intended functions. It is crucial for identifying defects, ensuring software quality, and improving the reliability and user experience, thereby maintaining high standards in software development and quality assurance (QA).
Keysight’s software testing tools identify defects early in the development process, allowing for timely corrections. This proactive approach reduces the risk of critical issues in the final product, ensuring higher quality and reliability.
Common types of software testing include manual testing, automated testing, functional testing, non-functional testing (like performance and security testing), unit testing, integration testing, system testing, and acceptance testing.
Black box software testing is an approach where the tester assesses the software’s functionality without any knowledge of the application’s internal workings. In contrast, white box testing involves a thorough examination of the internal logic and structure of the code, requiring full visibility of the source code.
Deciding between manual testing and software test automation depends on various project-specific factors, including requirements, timeline, budget, and testing scope. Manual testing is more suitable for exploratory, usability, and ad hoc testing, while automation is ideal for scenarios that require repetitive execution, such as automated regression testing.
Regression testing ensures that recent program or code changes have not adversely affected existing features and functionalities. Automated regression testing leverages QA automation tools to efficiently rerun test scenarios and verify that software enhancements or bug fixes maintain and improve the quality of the application.
Whether for manual testing or software test automation, effective test cases should be clear, concise, and comprehensive. Software test cases should include detailed information on how to set up the test environment, steps to execute the test, expected outcomes, and any specific input data required. Ensuring that test cases are reusable and maintainable for automated testing is also crucial.
Best practices include a thorough understanding of user requirements, early test planning, prioritizing tests based on risk, keeping tests simple, and refining testing strategies based on continuous feedback and findings. Maintaining a robust, scalable test suite and integrating testing into the CI / CD pipeline are also best practices in QA automation.
This process involves cross-platform testing strategies, using device emulators/simulators where possible, and leveraging cloud-based device testing platforms to ensure coverage across multiple devices and operating systems.
In Agile / DevOps environments, testers collaborate closely with developers, participate in regular sprints or iterations, and employ continuous testing practices to align with the continuous integration and continuous delivery goals of the project.
Keysight Eggplant Test is a comprehensive Al-powered software test automation tool that delivers intelligent testing at scale. Using a model-based approach, Eggplant Test enables teams to test any application across any platform or device. By creating a digital twin of the application under test, Eggplant Test generates and executes tests without the need for manual scripting or access to the source code. Eggplant’s AI-powered computer vision interprets and interacts with the application like a real user, making it perfect for even the most secure development environments.
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