MythBusters: Take Testing out of the Back Office and into the Boardroom

By Candice Arnold | 6/13/19

In previous MythBusters posts, we’ve debunked the notion that testing is solely a compliance function and examined how AI is delivering value in testing today. In this blog, we’ll explore how today’s complex, hyper-connected world has elevated testing to a strategic corporate priority.

Myth #3: Testing is Not a Business Imperative

In a bygone era, software testing was focused on the code, releases happened quarterly or even more infrequently and companies partnered with a select number of vendors for their software and services. In this environment, testing was typically viewed as a back office function that, while meeting an existing need, had little to no impact on critical business objectives.

Some executives may still hold this mindset, but it has no place in the digital age. As more IoT systems have entered the enterprise, companies have a wide array of apps, data systems and devices. Testing teams not only must test this ever-growing landscape, they must also do so from the users’ perspective in order to ensure the seamless experience that has become a requisite part of operating today.

This demands that testing be recognized as a strategic business priority and that companies invest in modern testing solutions that can address the challenges introduced by IoT, digitalization and other current enterprise trends. Key considerations include:

  • Channel Consistency: Users can now access products and services via a range of interfaces, including mobile, Web and voice, and some products may even be interacting with other products through APIs. To avoid confusion, errors, customer friction and a host of other challenges, it’s critical that DevOps teams testing IoT systems address channel consistency.
  • Intelligent Testing: Successfully testing today’s complex technology environment requires that the entire testing process—from creation through analysis—be automated. This calls for intelligent models to auto generate tests with AI and machine learning, and analytics so that DevOps teams can identify patterns with bugs.
  • Combining Testing and Monitoring: As mentioned above, it’s critical that testing be user-focused. Converging testing and monitoring enables DevOps teams to incorporate the user into the automated testing process and observe what they most care about, what impacts their productivity, their effectiveness, their sentiment, and other key considerations that will impact how they view and interact with a product.

Technology has changed drastically in the last few decades and we’re more reliant on software, websites and apps than ever before. It follows that companies must prioritize the performance, usability and functionality of their technology and, as such, testing now should have a place in board room discussions.

Intelligent, AI-driven testing is a critical component of providing a seamless, online experience that delights. In today’s world, can any organization afford to deliver anything less?

Learn more about how Eggplant can help you address IoT and other complex testing requirements here.

Topics: digital automation intelligence, AI-assisted testing, intelligent automation, digital transformation

Candice Arnold

Written by Candice Arnold

Named as one of the Top 50 most Influential Women in the UK Channel and shortlisted as CRN's marketeer of year 2018, Candice firmly believes that Marketing breathes life into brands and services, and loves helping clients make their workforce more productive with technology. Candice is a Fellow of the Institute of Sales & Marketing Management (UK).

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