Automation has been a linchpin for businesses for decades. Automation tools pave the way for greater efficiency, enhanced productivity, improved customer experience, and many other benefits. Yet, in some cases, businesses have only seen small gains from their automation efforts. When this happens, it could be because organizations were focused only on automation rather than the wider concept of hyperautomation.
When it comes to building a great website or mobile app, testing is just as important as coding. But with digital immunity, testing takes on a whole new importance.
So, did you invest in RPA? Did you buy into the dream of automation? How's it going? Are your bots running at 100% reliability and delivering amazing ROI? Or are you fighting bot breakdowns and struggling to justify the expense of costly RPA bots with poor reliability?
Process automation is a worthy goal for any organization. Automation unleashes human innovation, increases process effectiveness, and empowers your operations to adjust to change. But taking a pell-mell approach to automation will put these benefits at risk—you might actually create new inefficiencies you’ll have to rectify later. So before you get started with process automation, keep these five key things in mind.
In this continuation, Allen Loew, a Principal Quality Engineer and Sauce Labs advocate, explains how saucectl has transformed his team's test efficiency. We’re excited that Sauce Labs new fellowship program is in full swing. Over the next several weeks, we’d like to introduce you to the five fellows who are working hard to improve and open source Elemental Selenium.
Midnight, December 31, 1999, marked the beginning of a millennium where aircrafts would not fall out of the sky and bank ATMs would not spew millions of dollars from their cash withdrawal slots. Preemptive software testing and remediation on a global scale provided the automated world with some assurance that the machines would continue to run as they had for decades.
More than 70% of automation script failures are false and are caused by poor automation design practices. The False Failure Rate (FFR) is the percentage of tests that falsely fail when a test suite is run. It is calculated by dividing the number of false failures (failed tests that actually passed) by the total number of tests that were executed during a test run. Higher false failure rates increase testing and maintenance costs.
