Systems | Development | Analytics | API | Testing

Learn about our reimagined mobile test automation pyramid for modern DevOps practices. With the mobile market growing explosively and customer expectations increasing just as rapidly, today’s mobile app development and QA teams are under tremendous pressure to deliver constant updates for their apps while providing a continuous and seamless user experience.

If you are reading this, you have likely already identified a high-level need to scale or improve your current approach to testing without the mass hiring of in-house testers, or shifting left to make devs fully responsible for QA. Partnering with a software testing company is a great start, but what if a vendor offers multiple models? How can you define which software testing staffing model is right for you?

When performance testing you need a set of requirements to measure your response times against. When defining these you should do so with your end users or business teams. It is relatively easy to predict volumes, load and users that will use your application as you will no doubt have some data based on your current systems. It is a lot harder to agree on what the response times of your application should be.

Learn about localization testing, including its benefits, when to use it, and how to perform localization testing. One of the most persistent challenges for global brands is to provide a positive customer experience that appeals to the target market's local audience. These brands must create a product that is relatable and flexible enough to accommodate an individual user’s native language and culture as well as regional settings like currency, date, and time format.

We have great news for Oracle customers. With companies under pressure to increase the pace of innovation while managing costs, the right quality assurance strategy can be a competitive differentiator. To help you achieve this advantage, Tricentis and Oracle are partnering to bring you AI-powered testing solutions that will accelerate and de-risk your entire Oracle modernization journey. Tricentis now supports Oracle Cloud Infrastructure capabilities and is available on Oracle Cloud Marketplace.

When it comes to QA Testing Software, there are two main categories: functional testing and non-functional testing. Both have their advantages and are constrained in their own ways. As we have explained in different occasions, the Quality Assurance Testing is carried out in a manner chosen by the user but remember that by using functional testing, you can see what the process is doing and how the system responds to different inputs.

Functional testing is a stage in the software delivery lifecycle (also referred to as a ‘process’) in which quality engineers verify whether the application under test’s features behaves as per their requirements. Here are some typical examples of functional testing.

Use this cheat sheet to build a strategy for locating elements known as XPath. When working in web development and web testing, it can be necessary to traverse an HTML document and identify specific elements on a web page. One case in which this is particularly useful is in the development of automated UI tests. Oftentimes, automating web application testing is dependent upon programmatically locating elements on a web page and leveraging these elements to perform specific actions.

Learn about the top test automation frameworks for testing iOS apps, including the benefits and advantages of each plus sample code. A huge number of mobile testing tools have been developed in recent years to support mobile development in response to the explosive growth of the mobile app and device market in recent years. When it comes to choosing what mobile test automation framework is right for you, there is a huge array of options, each with different strengths and weaknesses.

Data privacy and security are a top concern for most organizations. It’s easy to see why given changes over the past few years. These types of protections can be great for us as consumers. However, they also make it extremely difficult to create realistic production simulations in pre-production. It’s hard to rapidly develop new applications if you can’t iterate against realistic data.