One of the most common testing issues we hear about from businesses is that they’re experiencing problems because of long-running scripts or scripts that stopped responding. What’s at play here?
Let’s start with the fact that writing test scripts can be an arduous process, and often, these scripts are written to solve an immediate problem, so longevity isn’t top of mind. This short-term view can be detrimental to business — and not just because of download and execution costs. Long-running scripts can wreak havoc on CPU time, processor cycles and overall network performance. This can create chain events throughout the organization, stalling business activities, affecting the customer experience and reducing ROI.
On top of all this, developers have their own set of problems. Tools and techniques are always changing, and it can be difficult to keep up with new practices in writing testing scripts. Many organizations also lack enough testers, leaving more workload to the developers. Offices often have a blend of both new technology and legacy systems, which can result in even more scripting tasks. It can become too much for staff to handle, leading to a lack of quality testing which, in turn, slows down the speed of completion.
Automation adoption in the marketplace
Manual testing is the most time-consuming activity in the testing cycle, surpassing test failure analysis, test environment setup, advanced script creation and script maintenance. Yet, 50% of organizations still rely on manual testing for applications, according to SD Times. Additionally, almost 50% of front-end development teams are not utilizing any usability testing tools at all.
By not automating the testing process, organizations continue to have big challenges in the marketplace. Long-running scripts can result in broken websites and cause functionality issues. This leads to bad customer experiences and a loss of credibility for the company. Still, there’s often an intrinsic fear of automating script testing, often based on concerns about a lack of skills within the organization or budget.
The benefits of intelligent test automation
However, by adding intelligent test automation powered by AI, a business makes an investment that returns many dividends – the process of developing becomes faster and cheaper, maintenance is reduced and significant cost savings can be realized.
With intelligent test automation powered by AI, object applications are categorized quickly and efficiently for all user interfaces. The testing script generation process can be reduced by up to 80 percent. The complexity and scope of tests can be expanded, improving testing quality while strengthening scripts by fixing instabilities in code.
AI automated testing can also go deeper into memory, file data, data tables and internal program statistics. More tests can happen concurrently, and the workload of testers can be greatly reduced. Perhaps the biggest plus is in streamlined maintenance, leading to efficiency benefits that can reduce development times 40 to 60 percent.
Why choose DXC for AI automated testing?
As a leading Fortune 500 global technology services company, DXC is uniquely positioned to lead your transition from manual to AI-automated testing. Testing is our core competency. By utilizing Micro Focus UFT One for end-to-end functional testing, DXC delivers a singular automated intelligent solution that uses embedded AI-based capabilities to build and automate functional testing for web, mobile, RPA, API and enterprise application tests for your applications and systems.
With so much value to be gained, isn’t it time for your company to master the processes to automate and enhance your script testing capabilities?