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Article by company director Tricentis for A / NZ Leon Booth.
Digital adoption rates are years ahead of what they expected before the pandemic. Many organizations are implementing solutions to meet the new demands brought about by the pandemic, such as the development of tools for remote workers or new e-commerce capabilities.
Executives’ perspectives on the role of technology in business have also changed as they turned to software innovation to drive growth. As a result, the accelerated pace of digital offer creation will no longer be due to extraordinary circumstances, but will instead become the status quo.
But with these digital offerings come new challenges. IT and product teams are under increasing pressure to deliver high-quality solutions, which means complexities and software testing can lead to bottlenecks.
While it might be tempting to avoid testing, it would be a major business mistake. The slightest friction or frustration encountered by a customer could result in abandonment in favor of a competitor. Testing is essential to deliver reliable and secure applications.
When done correctly, software testing reduces development costs and improves performance. The rigorous process ensures end-user satisfaction, detects software flaws before commissioning, and assesses whether the software is doing what it is supposed to do. These steps also ensure that the work of software engineers aligns with business goals.
But for organizations without mature software testing processes, the assessment process can be slow and expensive. Many businesses face two bad options: publish quickly with inadequate testing, or lose their time-to-market advantage.
AI and automation
Quality applications cannot be released quickly unless most testing is automated. Manual testing simply cannot keep pace with the greatly accelerated release cycles required for digital transformation.
According to the latest World Quality Report, the vast majority of testing is still done manually, increasing the overall cost and slowness of the process.
Testing is no longer the final closing phase, but something that can happen alongside development. In addition to using automation, testing earlier in the software development cycle reduces common testing pain points. Spotting bugs earlier means they’re cheaper to fix and reduces the risk of bottlenecks and release delays.
Automation is getting smarter, leveraging AI to simulate human behavior and improve software quality faster. Deep learning based automation that can ‘see’ and use a user interface just like a human would. It adds a layer of intelligence to automation that’s smart enough to work through the vast majority of UI changes – things that inevitably trigger traditional automation but wouldn’t make a human think twice.
The AI ​​also supports previous testing. Software engineers can now create an automated test before a user interface exists based on a mockup and create a running automation case based on it.
The growing importance of digital will lead to larger budgets and more scrutiny from the C suite as software enables more business critical projects. Software delivery has changed dramatically over the past five years, and speed has become a critical part of staying competitive.
But ever-increasing customer expectations mean businesses can’t afford to save money and risk losing business due to poorly performing software. Taking a modern approach to testing can balance the speed of delivery and the quality of applications, unlocking new competitive advantages for businesses.
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