The latest News and Information on Software Testing and related technologies.
Not all heroes in the tech world write code. Some wield the power of data analytics and SEO to create compelling stories and foster brand growth. This week, our Monday Member Spotlight features Jose, TestQuality’s Marketing Assistant with years of specialized experience in Google Analytics and SEO. Let's explore how he takes a data-driven approach to spread the word about TestQuality.
In today’s fast-changing digital world, software testing has become a crucial part of the software development life cycle (SDLC), in which the product’s quality, functionality, and performance are assured. Over the years, there have been various software testers who have made substantial contributions to the trends in the software industry through their expertise, online presence and advocacy for best practices.
We've said it before and we'll say it again: Visible APIs get reused, not reinvented. Ensuring that developers can easily work with APIs is essential. To make this happen, we need to provide them with clear documentation and helpful resources. That's where SwaggerHub Portal comes in, simplifying the process and making it easier for developers to get the job done.
Android is the most popular operating system in the world, with over 2.5 billion active users across over 190 countries. As a result, the Android ecosystem consists of more than 3.5 million apps – more than double the 1.6 million apps available on iOS. This means fast and seamless app performance has become critical for success.
While AI and machine learning have been industry buzzwords for a while, they are now becoming fundamental to software testing. Machine learning algorithms are making it easier to sift through logs, identify patterns, and even predict where bugs are most likely to occur. As these technologies mature, the role of AI in software testing will undoubtedly expand.
Many questions arise whenever adopting exploratory testing (ET), primarily due to misunderstandings about what it means. The fact that exploratory testing is mainly unstructured, especially compared to the traditional scripted testing approach that is highly detailed and restrictive, makes it harder to connect it to the word “plan.” Sometimes, users call it ad hoc. Does all this mean that we can’t prepare ourselves for exploratory testing and establish some level of plan for it?
