Today’s QA world is fueled by two key forces: the growing expectations of product companies and the competition between the testing providers. Every day, CTOs and dev managers are pushing their teams to break new ground, and they’re looking for QA resources that can match their enthusiasm and passion for innovation. Most product companies are looking for a testing services provider that feels right at home on the cutting edge. With the urgency to innovate being one of the driving forces in the industry, the QA world can expect major things in 2018 and beyond.
From the early robotics of the 1950s to the advanced, algorithm-driven machine learning of today, AI has come a long way in a short amount of time. Though AI is still relatively young, QASource has found that AI's current and potential value to automated testing is massive. With the increasing complexity of applications, the lightning-fast speed of the software development lifecycle, and the highly competitive time to market across industries, engineers will take all the help they can get, whether it be from machines or other humans.
So, why exactly is AI beneficial to automated testing services? Put simply, it allows the machine to learn and understand environments, perform “intelligent” actions, and improve itself automatically.
QASource recently presented the webinar "Accelerate Your Automation With API Testing." In this webinar, QASource CEO Rajeev Rai discussed API testing's rise in popularity, and the necessity and benefits of testing APIs. The webinar also offered tips on how to perform API testing and best practices.
We presented this webinar twice in September due to its popularity. During both live presentations, attendees were given the opportunity to ask questions, but we were unable to get to them all. Here, our expert API engineers answered them.
QASource sponsors the Agilistry & QA Meetup Group. The goal of the group is to create a community where software engineers and developers can meet to learn new skills, build on current skill sets as well as network with other business professionals.
Today, it seems like every app connects and integrates with the next. We can check out via PayPal, login via Facebook, and share content across all of our social media platforms at once. This interconnectedness helps people get more done in less time, leads to rapid growth for relatively young product companies, and creates a supportive ecosystem of well-crafted, well-tested applications. And all of it thanks to the essential bond, the tie that binds: the API (application programming interface).
Today, product companies are striving to lead in four key areas: Innovation, Efficiency, Accuracy, and Speed. Before automation technology was as common as it is today, CTOs, product managers, and engineering leads were slowed down by repetitive manual tasks — becoming truly efficient and innovative was a distant goal, something they could only discuss in abstract terms. Automation has put more power in the hands of developers, QA engineers, and the people who manage them.
QASource, in conjunction with Sauce Labs, recently presented the webinar "Measuring Your Way To Successful Automation." When preparing each webinar, we field a variety of questions about the topic at hand. We have coordinated with our expert automation engineers to answer several of the most common questions about team metrics and measurement approaches below: