Quality at Speed Depends on Software Test Automation

Automated software testing 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.

faster test case setup and deployment time

quicker functional test case execution

tests can be run per year on your e-commerce site

of all regression tests can be automated

Forrester Wave 2022 Report - Continuous Automation Testing Platforms

2024 Gartner® Market Guide for AI-Augmented Software-Testing Tools

Keysight is proud to be recognized as a Representative Vendor in the 2024 Gartner Market Guide for AI-Augmented Software-Testing Tools.  

Quality assurance is entering a new era, with artificial intelligence (AI) adding new capabilities and efficiency to software test workflows.

According to Gartner®, "Test creation and maintenance is the most-fertile ground for AI-augmentation and one of the areas where we see great innovation and competition."

Download the Market Guide to get the latest findings and recommendations from Gartner.

Unlocking AI: the key to QA automation

Automated, continuous testing 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.

Cover of eBook Ultimate AI Software Testing Playbook
Cover of eBook Ultimate AI Software Testing Playbook

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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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).

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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