SAN FRANCISCO--(BUSINESS WIRE)--Rainforest QA, creators of the world’s only AI-powered crowdtesting platform for agile and continuous integration software teams, today announced that Rainforest QA Exploratory is available to all customers. The new product leverages Rainforest’s unique crowdsourcing model to employ an elite, vetted tester army of thousands to perform exploratory tests in a fraction of the time and at a fraction of the cost of competitors.
Bug discovery and building test coverage are two of the most time-consuming activities for QA teams. Typically, teams must devise and write tests ahead of time and continuously update them as software changes. While many teams frequently perform exploratory testing to surface undiscovered issues in their software, the undertaking is a manual and time intensive one that often takes away from development time and other QA activities.
With Rainforest Exploratory’s unique crowdsourcing approach, companies can instead leverage a global team of testers to execute their exploratory testing. This elite group not only explores an application to identify new issues, but also creates tests to subsequently catch those newly-found issues in future test runs. Customers can expect results in as little as 48 hours, and results include documentation of issues found, video recordings of the test execution, and scripted Rainforest regression tests for easy replication.
“Continuous deployment puts immense pressure on development teams; the demand oftentimes means businesses are shipping software with bugs, which can adversely impact their brands, customer loyalty and revenue,” said Fred Stevens-Smith, CEO of Rainforest QA. “Teams just don’t have the time or resources to perform continuous testing on their own, let alone scan for ‘unknown unknowns’ by regularly performing exploratory testing. With our crowdsourcing approach, we help protect a company’s product experience with a trained tester army that pulls double-duty: providing teams with a fast, resource-efficient way to scour their application for undiscovered issues and ensure that those newly found issues are tracked going forward.”
Poll Everywhere, the online polling app, turned to Rainforest QA Exploratory to identify bugs without taking team members away from other projects. While Poll Everywhere is the leading audience polling platform, working with over 100,000 educators and 40% of Fortune 1000 companies worldwide, it runs a lean development team, comprised of one full time QA engineer and 17 developers. Iterating and deploying frequently through continuous integration, it’s imperative that testing is run as close to real-time as possible to enable the software to ship faster with less risk. After implementing the beta version of Exploratory, Poll Everywhere was able to increase its regression testing coverage by 104 percent and identify 75 new bugs, allowing the company to address significantly more issues before deployment.
“Rainforest Exploratory allows us to find bugs quickly, deploy faster and ship code with more confidence,” said Brian Goodman, product manager at Poll Everywhere. “We use Exploratory to keep our development team focused on building new features, without sacrificing quality or test coverage.”
For the full Poll Everywhere case study, visit https://www.rainforestqa.com/customers/poll-everywhere/.
Exploratory by Rainforest QA is now available to all customers, following a beta test period last year. To get started with Rainforest Exploratory or add it to your existing Rainforest QA strategy, visit: https://www.rainforestqa.com/product/exploratory-testing/
About Rainforest
Rainforest QA helps agile and continuous delivery engineering teams move faster with the industry’s only AI-powered crowdtesting platform. Our platform leverages 50,000 qualified testers to deliver on-demand, comprehensive and machine learning verified regression test results. Rainforest customers spend less time and money testing so they can ship better applications faster. For more information on Rainforest, visit https://www.rainforestqa.com.