QASource Blog

An established software testing company with a track record of successful engagements and market-leading clients offers more than a simple QA team -- it provides support from the entire organization. This includes an expansive team of engineers with years of combined testing experience, domain experts that can be called on to your project to advise test engineers and facilities that support manual and automated testing across all major devices and operating systems.

When an organization needs to cut costs, increase efficiency, and boost revenue, there’s a short list of strategies to be considered. For companies in the software development and technology sector, outsourcing will make the list every time. Outsourcing IT work is a go-to move for increasing productivity and the bottom line, but only if the company knows who to partner with, what exactly to outsource, and when to do it. In today’s techno-globalized world, it’s easier than ever to find a team that offers skills you need at a rate that doesn’t bust your budget. This is the main reason why so many companies outsource QA and software testing to places like India and Mexico. Thanks to huge advances in communication technology, engineers located hundreds or thousands of miles away can be an extension of your team. Projects stay on track and teams stay aligned despite the physical distance between them. Sounds good, right? Of course it does! But back to the question at hand: How do I know when to start outsourcing QA?

Over the last decade, QA outsourcing has surged in popularity in the software industry. Even so, there are some misunderstandings about its effectiveness. In our latest infographic, we've identified and dispelled the top 5 myths about outsourcing QA.

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.

As companies work to release new features and focus on marketing strategy, QA testing might fall a few spots on the priority list. But overlooking QA can negatively affect the product in many ways. Post-release bugs, security vulnerabilities and poor UX are just several consequences of bad testing. A consistently poor product can lead to lost customers, bad PR and a drop in revenue.

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)

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.

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.

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?