QASource Blog

Every company wants the future of technology implemented today. That’s why the AI industry rapidly grows year after year and continues to be one of the biggest automation testing technologies trends in software testing. Adding machine learning and AI to your QA testing strategy can be both exciting and scary. It’s always fun to engage with new technology and discover all the key benefits of AI in QA test automation. But what impact does AI and ML bring to software QA? And should that change be embraced or rejected?

Congratulations on purchasing your LMS! Now comes your next challenge: implementing this learning management system into your organization. It’s true that integrating your new system with your other technologies is a critical process. Fortunately, it doesn’t have to be a daunting experience. In fact, you can expect impressive results when you have the right team and detailed strategy in place.

Within the development cycle, every team plays a key role. The software development team focuses on delivering code and the QA team focuses on product quality. With each team prioritizing a specific focus, going to market can only be a success - right? Not quite. Even with an issue-free product launch, the comradery levels across teams can be indifferent at best. In fact, many organizations would describe the relationship between developers and testers as a rivalry.

Software testing is a continuously evolving sphere. Often, testers only have hours to test a software and as a result, QA engineers tend to opt for automation and parallelization. Enter Docker containers. Dockers have revamped the way testing is integrated into the CI/CD pipeline: the multi-container testing approach eliminates time and resource-based bottlenecks.

Software development has been in existence for quite a long time now. However, the need for strong QA to complement the advancements of development has risen. With the increasing demand for high-quality products, it has become imperative for software companies to have strong QA in order to achieve development excellence.

It’s a simple equation: Better automation leads to a higher-quality product and faster releases. However, achieving better automation requires careful consideration. It requires an understanding of the full scope of your product, and a detailed search for the right outsourced QA tester: Your partner on the road ahead.

With cyber attacks hitting the news with increasing frequency, more pressure is upon cyber security companies to release high-quality software that users can trust to keep them, their data and their devices safe from unauthorized users. Do cyber security companies need QA? Absolutely. We've put together three reasons cyber security providers should direct more resources toward software QA and testing.

You know the old saying: “The customer is always right.” Turns out that it’s true across industries — from service and retail, to IT and software QA. Product companies work hard to deliver features that delight their customers, and software QA providers do their best to ensure that the quality of these features is high before shipment. At the end of the day, we all work in service of the customer.