Virtual reality (VR) and augmented reality (AR) have been the stuff of fantasy for a long time. Remember the bulky headsets and long, snaking connector cords of the 1980s? But it’s becoming increasingly popular and approachable in today’s market — just consider the rampant success of Pokémon GO, the mobile AR game. Companies are starting to explore how VR/AR can help create a more attractive, immersive product for their customers. With this exploration comes plenty of innovative development and QA testing work.
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.
It seems there is a fresh news story about a high-profile hacking or customer data breach every week. No organization wants to be the subject of the next reputation-ruining headline, but many business leaders still skip over the topic of security when it comes to interviewing, hiring, and onboarding a new outsourced QA partner. The focus instead often tends to be on cost and speed, all the while assuming that security is covered.
Market competition and an emphasis on great user experience drives innovation. And today, companies are innovating at breakneck speed. As product and service companies scale up their development teams to embark on new, attractive features and match the pace of their respective markets, they also scale up their QA teams to match the increased workload.
Or do they?
Going to market with a perfectly functioning product is a great way to attract customers and cement relationships with them. And for many software product or service companies, that’s their goal.
But many others are resistant to the idea of allocating budget toward the thorough QA testing required to achieve that goal. Their reasons range from “Our developers are smart, they can test their own code” to “We don’t know if QA will provide good ROI.”
But, as the recent spike in data breaches and hacking has shown, an ounce of prevention is worth a pound of cure.
Today, it seems like we don't go a week without hearing about a high-profile hack or breach of customer data. As customers, we spread our information across a huge variety of applications, and we trust that no ill will come of it. The truth is, however, that we’re more vulnerable than ever, and the risk of a hack is made clearer to us everyday. We rationalize the situation, thinking, “Well, they must have people safeguarding my information, right?”
Right — for the most part.
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:
What happens when you can’t accurately measure the cost, effectiveness, and progress of a software testing project? A lot of less-than-ideal things. Projects can balloon in cost, creep in scope, fall in quality, or run on for what seems like forever. Without defined metrics attached to each QA project, they can get out of control -- and this scenario is a nightmare for both the product company and their team and the testing provider and their engineers.
One of the key challenges of working with an outsourced QA partner is aligning a new, offshore team with your product, procedures, and larger business objectives. Without the proper transfer of knowledge from the customer to the offshore team, engineers will be testing blindly. This leads to process slow-downs, inflated project budgets, and even lost contracts.
Product companies who balked at QA outsourcing in the past are now running to it with open arms. Rapid release schedules along with high overhead costs have QA Managers and CTOs searching for a solution that is affordable, not cheap. Enter outsourcing!
Opening up your product to a skilled, dedicated offshore team comes with too many advantages to list here, but rest assured -- there are many. But the one aspect of outsourcing that many still worry about is communication. How can you be sure that your QA partner will communicate with you promptly, clearly and without any technical hang-ups?