After hearing of a recent Oxford University study on advancing automation and its potential to displace workers, Yuh-Mei Hutt, of Tallahassee, Florida, wrote, “The idea that half of today’s jobs may vanish has changed my view of my children’s future.” Hutt was reacting not only as a mother; she heads a business and occasionally blogs about emerging technologies. Familiar as she is with the upside of computerization, the downside looms large. “How will they compete against AI?” she asked. “How will they compete against a much older and experienced workforce vying for even fewer positions?”
In software testing, test automation is the use of special software (separate from the software being tested) to control the execution of tests and the comparison of actual outcomes with predicted outcomes. Test automation can automate some repetitive but necessary tasks in a formalized testing process already in place, or perform additional testing that would be difficult to do manually. Test automation is critical for continuous delivery and continuous testing.
“I don’t understand why people would think it’s unethical,” Woodcock says. “You use various tools and forms of automation anyway; anyone who works with a computer is automating work.” He says if any of these coders had sat in front of the computer, manually inputting the data day after day, they’d never be reprimanded. But by demonstrating that they’re capable of higher levels of efficiency, some may, perversely, feel like they’re shirking a duty to the companies that employ them. This is perhaps why automating work can feel like cheating, and be treated as such by corporate policy. On Amazon Mechanical Turk, the tech company’s marketplace for microwork, automation is explicitly against its terms of service—and the gig workers like those on the platform, who labor for cents per task, could stand to benefit from automation most of all.
The market is, however, evolving in this area. In order to automate these processes, connectors are needed to fit these systems/solutions together with a data exchange layer to transfer the information. A process driven messaging service is an option for optimizing your data exchange layer. By mapping your end-to-end process workflow, you can build an integration between individual platforms using a process driven messaging platform. Process driven messaging service gives you the logic to build your process by using triggers, jobs and workflows. Some companies uses an API where you build workflow/s and then connect various systems or mobile devices. You build the process, creating workflows in the API where the workflow in the API acts as a data exchange layer.