Some people assume that exploratory testing is a task with low-effort thinking, where the tester simply goes through the application and sees what comes up. While we shouldn't discount doing just that, because sometimes it does reveal some interesting bugs, there are techniques and patterns that testers can follow when exploring an application. Let's look at a two-step process to use in exploratory testing.
Testing continuous technological change can seem like chaos. There are many challenges that need to be managed, such as unavailability of power, excessive temperature, incorrect configuration, unexpected behavior of services, network downtime, and processing slowdown in production. By deliberately engineering chaos, we’ll be able to discover many of our systems’ weaknesses before our users do.
Companies that want to reduce testing costs usually try working with fewer people, or even cutting back on the amount of testing done. But with those approaches, quality usually suffers. Releasing a critical bug and suffering the subsequent pain usually costs multiple times what testing would. There are better ways to save money, and it can be done just by being smarter about our test cases and their structure.
DevOps does speed up your processes and make them more efficient, but companies must focus on quality as well as speed. QA should not live outside the DevOps environment; it should be a fundamental part. If your DevOps ambitions have started with only the development and operations teams, it’s not too late to loop in testing. You must integrate QA into the lifecycle in order to truly achieve DevOps benefits.
The internet of things (IoT) continues to proliferate as connected smart devices become critical for individuals and businesses. Even with test automation, performing comprehensive testing can be quite a challenge.
In this interview, Paul Grizzaffi, a principal automation architect at Magenic, details the parallels between software testing and heavy metal music, as well as the issues that arise when management places unrealistic expectations on automation engineers.
In this interview, Geoff Meyer, a test architect in the Dell EMC infrastructure solutions group, explains how test teams can succeed by emulating sports teams in how they collect and interpret data. Geoff explains how analytics can better prepare you for the changing nature of software.
In this interview, Gil Sever, the cofounder and CEO of Applitools, explains the importance of automation in modern testing, why you need to be customer-obsessed, and how your UI can determine the success of your applications.
In this interview, Dawn Haynes, CEO, testing coach, and consultant for PerfTestPlus, explains how the different yoga poses relate to testing, why you need to adapt to your testing situation, and how to succeed in the nonfunctional testing space.
Risk-based testing is essential to focus our testing, but it is not always easy to apply to our projects. Risk management tends to focus more on project and process risks (i.e., Will we make the deadline? Do we follow our processes?) and less on the product risks that can act as a foundation for a risk-based approach to test. Including this aspect of risk in your test coverage will give you a solid foundation for defining a test strategy that implements and executes the right tests with the right intensity to mitigate the most critical product risks. In this presentation, Gitte Ottosen walks you through approaches to lightweight product risk analysis that can be applied whether you are working in a traditional or agile context. The approaches focus on the conversation around identifying and classifying product risks as a team effort, as well as how to use product risk analysis to support test specification and execution.
Today’s IT systems communicate with customers through multiple points of engagement and various interfaces, ranging from web, mobile, and voice to BOTs and apps like Alexa and Siri. Sanil Pillai says these systems need to provide seamless handoffs between different points of interaction—while at the same time providing relevant and contextual information quickly. To accomplish this, a team must be able to successfully pair device hardware capabilities and intelligent software technologies such as location intelligence, biometric sensing, and Bluetooth. Testing these systems and interfaces is becoming an increasingly more complex task, and traditional testing and automation processes simply don’t apply to new-generation digital interaction services. Join Sanil as he discusses the testing and automation challenges in new-generation digital interactions using hyperconnected BOTs.
As more applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are...