Ensuring the safety and integrity of enterprise data and networks is a lot more complicated than it used to be. With cyber attacks making headlines on a near-daily basis and malicious hackers getting smarter by the day, the security programs of yesterday just can’t cut it. There’s a growing consensus that a security strategy focused only on hardware, software, and policy-setting isn’t enough. For a fully comprehensive security program to be maintained, companies need to be vigilant in many different ways.
When companies are trying to run lean - increase efficiency and cut costs - they look for every opportunity to optimize the way teams work and produce. Though IT services have been outsourced for decades, many companies are still skeptical about outsourcing their QA services. Many decision makers still think of outsourced QA as “throwing it over the wall,” with limited interaction and collaboration between teams and deliverables that may or may not come back per the requirements.
But there are plenty of reasons to believe in QA outsourcing. It helps product companies deliver high-quality products without breaking the budget, allows larger teams to scale resources up or down as needed, and frees up development teams to focus on value-adding features. (Click to tweet)
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.
Product companies have it hard these days. From established organizations to scrappy startups, everyone’s focused on trimming the fat and running lean. This puts the onus on Dev and QA managers to deliver innovative, high-quality products using a constricted budget and limited resources. In turn, today’s recruiting process is about getting a lot of bang for a little buck.
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.