Eliminating Manual Testing with AI-driven Computer Vision – Introducing Eggplant 7.0
Today, testing is one of the most expensive and time-consuming stages of software development. Most quality assurance (QA) teams continue to rely on manual testing strategies built with in-house testing tools. Manual testing limits product release velocity, reduces test coverage, and makes it difficult to scale complex projects. So why aren’t more teams automating their regression and functional testing?
According to Forrester Research, 71% of organizations are trying to automate their test processes but use in-house tools or a combination of in-house and off-the-shelf tools, which require manual testing to bridge gaps in the workflow.
Furthermore, Forrester indicates that an alarming 76% of organizations believe their testing solutions limit their ability to scale for future needs. The limitations of do-it-yourself testing pose a significant risk for business leaders increasingly dependent on mobile applications and integrated technology as key enablers for success.
What’s Driving the Transition to Test Automation?
Business leaders expect software test automation to deliver better software quality, faster time-to-market, and cost savings in the development process. Ultimately, organizations can realize these efficiencies through lower defect remediation costs, optimized resource allocation, and seamless integration of new features, all of which drive competitive advantage and business growth. Forrester asked business leaders what they hoped to gain from test automation solutions. The leaders’ top three priorities are efficiency improvements, scalability improvements, and reduced costs.
Where Can Automation Deliver the Biggest Impact?
Automating and integrating test environments: How do you test hundreds of different mobile devices?
Given the complex landscape of platforms and operating systems, managing the test environment and configuring the system under test (SUT) is time-consuming and expensive. Eliminating physical test labs and automating test environment configuration and access increases test execution velocity and coverage simultaneously. In addition, AI-driven test modeling ensures your apps, sites, and digital services work across any browser, OS, and device, while intelligent computer vision performs real user experience testing.
Continuous testing: How do you control versions, track changes, and manage access permissions for your test assets?
Continuous integration and continuous delivery (CI / CD) pipelines include time-sensitive test cycles and require collaboration to manage test assets and versioning. You can integrate automated tests into the CI / CD pipeline to facilitate real-time validation as new code is checked in. Test execution occurs in parallel, providing additional efficiency, while automated reporting arms QA leads with data-driven intelligence and visibility.
Learn More
For a deeper dive into these topics and to see some of the latest advances in test automation, join our expert panel on August 29 for The Roadmap to Zero Manual Testing webinar. Attendees will learn how Eggplant Test enables testing on more than 300 real devices, 172 emulators and 700 browser and operating system combinations, eliminating the need for physical device labs. Eggplant Test also facilitates seamless collaboration with Git integration, ensuring efficient management and tracking of test assets across large teams. The webinar will feature insights from automation experts and special contributions from Sauce Labs.