When it comes to testing in DevOps, more than simple regression checking can be automated. By shifting right in the lifecycle and testing in production, you can analyze the undefined, unknown, and unexpected by relying on real traffic and unpredictable test input. With shorter implementation and release cycles, testing and production come closer together.
Mind maps work well for planning the test strategy and monitoring project status. Mind-mapping software makes all this easy, and the visual presentation keeps everyone in the loop. Ritinder Kaur shows how mind maps can communicate ideas clearly and help you execute them exactly to create a comprehensive test plan.
As more businesses are adopting DevOps and demanding continuous delivery, it's important for testers to constantly upgrade their skills. By leveraging the right resources, including developer and application performance management tools, you can play a bigger and more collaborative role in producing higher-quality output.
Testing professionals who are learning about agile often want to know how they can provide traceability among automated tests, features, and bugs and report on their testing progress. Here, Lisa Crispin gives an example of how her previous team worked together to integrate testing with coding and helped everyone see testing progress at a glance.
One common complaint about test automation is that it’s too brittle. Small changes in the system can cause lots of rework during the automated checks. In this article, Clint Hoagland shows a way to fix “the brittleness problem” by using the right abstractions in your automation design.
Do you know the latest in test attacks and testing techniques to become a cyber security test warrior? Becoming one is probably not for everyone, but the need is real, continues to grow, and offers a career opportunity for those brave enough to take the challenge.
Tara Nicholson explains why it's important to take into account compatibility, which refers to the ability of a software system to function across a variety of client software (browsers), operating systems, and hardware combinations. In this article, Tara shares some helpful strategies for you to consider when maintaining a compatible user experience.
Rajnish Mehta writes that test teams need to have a scientific way to support the business need of shipping a product out the door. Risk-based testing is a practical approach for test teams to utilize as it allows them to think from a business perspective.
Brian Noggle writes about how he uses "skeleton strings" to help him when he probes an application under test. Just as skeleton keys unlock doors, these generic skeleton strings open up access to a wide variety of defects.
Every time we look at the data, we perform an analysis that helps us make decisions—hopefully the right ones. In this article, Gil Zilberfeld describes a few traps where bug data misled him to make bad decisions. These traps are in the data itself, not the tools, and can lead us in the wrong direction.