Delivering Scalable and Resource-Efficient Software Testing Automation

Derren Nisbet, CEO, Virtuoso QA

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Virtuoso is an AI-powered testing and quality assurance platform that automates software testing with cutting-edge technology. With a focus on scalability, reliability, and ease of use, Virtuoso empowers enterprises to accelerate development cycles and reduce costs efficiently.

When ERP systems changed from releasing only one to two updates every year to an active release model, where vendors launch new features every few weeks, internal IT departments felt the pressure. Time and resources were required to test each new release and evaluate its compatibility with existing infrastructures.

Virtuoso QA is changing that. Its fully automated, AI-powered test automation tool combines the speed and simplicity of low-code/no-code with the flexibility and control of scripted test steps to streamline the implementation of business applications, enterprise resource planning (ERP) solutions and customer relationship management (CRM) offerings.

Let’s give you an example. An education specialist achieved 90% automation for its QA team due to implementing AI-powered, low-code/no-code test automation from Virtuoso QA.

The team was using a combination of manual processes and Selenium JAVA, which lacked scalability. As a middleware solution that integrated with numerous services it required daily maintenance, putting pressure on a team that was required to execute multiple tasks simultaneously to complete testing within its desired 3-4 hour timeframe.

Virtuoso QA’s solution reduced certified release time to within a week, and in some cases, just days. The team was able to run jobs that grant users daily access to specific courses for 24 hours by implementing Virtuoso QA, saved approximately 20 hours per week in manual tasks.

This has improved operational efficiency, reduced costs and accelerated time-to- market.

Welcome to the Next Generation of Software Testing

There is no doubt that scepticism exists at C-level around the integration of AI. The hype cycle for gen AI has more or less passed its peak and new apps and frameworks are being released all the time along with hardware specs, energy and cooling requirements which all contribute to the confusion. Combine that with the risk, cost and disruption of introducing AI, and C-suite scepticism is easy to understand.

Virtuoso QA cuts through that confusion. Its easy-to-use testing tool enables CIOs to get a quick return on investment while managing their evolving infrastructures efficiently. It operates on a shift-left approach where developers can test their code as they are authoring or creating software.

Self-healing capabilities, powered by generative AI, automatically suggests fixes for errors, reducing reliance on extensive QA.

It also uses intelligent object identification to collect all Xpaths, element selectors, and IDs to detect dynamic changes and update tests accordingly.

Above all, Virtuoso’s machine learning-driven self-healing ensures continuous, uninterrupted testing to significantly reduce the maintenance burden and accelerate development cycles.

"With legacy vendors, setup, onboarding and training can take a significant amount of time," explains Derren Nisbet, CEO. “We use natural language processing to help business analysts and developers maximize the use of our tool with very little training and make teams productive within 45 days.”

Virtuoso’s broad NLP functionality reflects its strong commitment to harnessing AI for usability and efficiency.

Building a Foundation for Reliable AI

In today's competitive landscape, where companies can quickly develop and copy new software, time is crucial.

"AI has dramatically shortened the time it takes to build new tools, but comprehensive and resilient solutions like Virtuoso are hard to match," states Nisbet. "Generic tools might suffice for small organizations with limited testing needs, but when it comes to handling enterprise-level complexity, our tool delivers far better performance."

 

  • We use natural language processing to help business analysts and developers maximize the use of our tool with very little training and make teams productive within 45 days.

 

In an era where many companies simply add “AI” to their names to capitalize on the trend, Virtuoso stands apart. Its deep understanding of the technology began in 2017 when Nisbet and his team explored large language models (LLMs), the precursor to AI, and their applicability within enterprises. Virtuoso continues to enable the integration of AI capabilities into its product from the outset, instead of retrofitting it as an afterthought.

Today, the team continues to push boundaries to remain at the forefront of AI development, exploring expanding use cases for full automation and Agentic AI as the technology matures. It is also deeply knowledgeable in testing and quality assurance, with each member bringing a wealth of industry experience to continually enhance its offering while keeping customer needs in mind.

In fact, it was this requirement for collaborative, truly intelligent AI/ML agentic test automation that prompted one of Europe’s biggest insurance companies to ask Virtuoso QA to meet its evolving testing needs as the insurance company migrated its applications to the cloud.

Virtuoso QA structured the design of tests and allowed for minimum customisation by prioritising out-the-box features and high reusability without affecting test flows. The company’s customers were trained by Virtuoso to create their own custom extensions to mimic the existing reporting features to achieve consistency in the existing test operations and with Open API-enabled features, Virtuoso QA allowed for custom extensions to retrieve and create custom reports.

The result? Test maintenance efforts were reduced by 75% due to ML-driven self-healing. The business also benefited from 46% cost savings compared to Selenium within that same period, translating to a total saving of £373,800 over a projected three-year period. The dynamic data created by Gen AI and stored in Virtuoso QA’s Data Tables was able to be reused across multiple executions and areas of the UAT, resulting in a 25% improvement in the test cycle time.

Results in brief:

• 46% savings within 6 months in comparison to Selenium

• 50% FTE savings for test maintenance

• 25% improvement in test cycle time

• 50% reduction in test artefacts

• 75% reduction in test maintenance

• 5241 scripts (test steps) created in six months

A New Dawn

As the business landscape continues to evolve, the integration of AI is becoming increasingly crucial. Virtuoso stands at the forefront of this transformation, leveraging extensive industry knowledge to offer innovative solutions that enhance testing and quality assurance processes. Recognizing that the ability to adapt to AI's capabilities will be a defining factor for organizations, its tool is set to position businesses for success in the new era of work.

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