We are in an open-source revolution, an era where engineers and developers around the globe can collaborate and invest their time and money with the goal of producing a reliable product – a software that would further push the world toward digital innovation. Because of this common end goal, open source tools are gaining popularity in developer communities and more are turning toward adopting open source tools to build their product.
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.
The Agile testing environment creates strength in numbers. It aligns the talents and vision of your entire team to ensure the promise of your product becomes a market reality.
Every stakeholder in your software development life cycle is involved from beginning to end. You can maintain an end-user focus through the development and analysis of daily builds using a cyclical, continuous integration model.
The internet today is like Pandora's Box. The question here is, "How did the Internet become so powerful?" The answer is with data, and data about data. When you search the internet for something, you are searching data about data. Those searches provide us with useful information only because someone has preserved this information somewhere over the internet, and as this technology advanced, the demand for Big data applications was created.
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.
It’s imperative that startups move with speed in releasing new products and features to get them into customers’ hands. Most startups allocate a significant amount of funding and resources for development in order to accomplish this; likewise, many startups don’t set aside enough for QA. However, there usually comes a tipping point when it becomes necessary to really invest in QA. Let’s examine 4 scenarios that might motivate you to invest in QA.
Cloud-based testing applications use shared resources that are allocated dynamically to create flexible environments that simulate user scenarios and real-world traffic. Easy access to the cloud environment helps organizations approach software testing as an easily scalable, on-demand service. It frees up resources to be used in other areas of your project while providing high-quality results. However, the cloud is not without its drawbacks. Though cloud-based testing offers advantages, there are also counterpoints to consider before adopting it as a part of your QA approach.