Automation was already well on its way to becoming a ubiquitous investment in 2020, then the COVID-19 pandemic accelerated interest and adoption. Organizations started deploying Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and other automation capabilities en masse, which interacted with mission-critical systems, legacy applications, and workers in both the front and back office.
Testing is a critical step if you want to ensure quality in your products. It’s crucial to test your applications to make sure they work properly – otherwise, customers are less likely to buy or continue to use them. While important, software testing can be a repetitive process that takes time and resources you’d probably rather use for tasks that deliver innovation to the functionality or performance. This is where test automation comes in.
Even before COVID-19 became the biggest challenge to operational resilience in a generation, organizations were struggling with a gap between digital transformation and internal processes that felt decidedly “pre-digital.” Automation presents a solution, connecting new tools to old, legacy systems through three key shifts in technology.
Having an effective test automation system is an absolute necessity in today’s agile software development environments. Automation works great, especially in case of smoke and regression tests and helps the QA teams to easily create and execute test cases that are complex in nature. Though automation can act as a power booster for your product pipeline of development projects, there are certain pitfalls in automation which slow down the automation pipelines if not tackled upfront.
Suddenly there’s a crisis. What do you do? Many organizations responded to the COVID-19 crisis by quickly automating with digitally-distanced work processes such as telemedicine, digital learning, working from home and the like. But few were positioned to do it well. So says best-selling author George Westerman in his essay: Digital Transformation Isn’t Really a Technology Challenge.
If your COVID-19 reopening plans have gone through more phases than you can count, you’re not alone. What was once planned for October has pushed to January or June or maybe never. Even the companies that have managed to get back onsite or into the office often live in constant vigilance, knowing that a single positive COVID-19 test could send them into lockdown.
The COVID-19 pandemic has forced government organizations to reassess their strategies, plans, and aspirations for digital transformation. Despite the uncertainty, IT leaders must quickly identify and act on strategies and plans that lead to positive outcomes. In many cases, governments will expand the role of digital technologies in service and program delivery.
One of the biggest failings of old-school, custom software development is its inability to help large organizations survive against unexpected challenges and quickly adapt to change. It could hardly be otherwise. For decades, companies were limited by inflexible business applications that took so much time to architect, develop, test and deploy. Not to mention the time it took to maintain, upgrade and enhance them. All of which set the stage for a revolution.
Automated UI testing is a daily struggle for efficiency and reliability. A single misconfigured line of code can cost teams in hours of lost feedback time and test error triaging—potentially costing companies hundreds of thousands of dollars. In this case study we will see how interactions with only two web elements led to a 34% degradation in the test execution time.
