Articles

level up 4 Steps to Level Up Your Testing Game and Advance Your Career

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.

Andreas Grabner's picture Andreas Grabner
Testing mind map 4 Steps to Successfully Implement Mind Maps in Testing

Mind maps can encourage a new perspective in your test team and promote collaboration. These maps make it easier for colleagues to grasp your work process, your progress, and your understanding of the project. How do you get started? Here are four steps that will help you implement mind maps successfully in your testing efforts.

Mush Honda's picture Mush Honda
Automate Your Testing When Should You Automate Your Testing?

Although it sounds counterintuitive, manual testing still plays a large role in automation. In truth, manual testing will never go away. While automation is all the rage, there are instances when manual testing is preferable over automation. Knowing when to employ one tactic over the other can be helpful in reaching your goals.

Mush Honda's picture Mush Honda
Traceable Tests Guide Your Agile Development with Traceable Tests

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.

Lisa Crispin's picture Lisa Crispin
Test Management and Analytics Supporting Accelerated App Delivery through Test Management and Analytics

Careful test management is essential to push reliable apps out the door, so testers and developers must work closely together to identify repetitive tests and automate them. Effective test automation ensures that the right tests are run at the right time. Because quality isn’t just about how well the software works technically; it also has to deliver what the customer wants.

Viktor Clerc's picture Viktor Clerc
Fixing the Brittleness Problem with GUI Tests

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.

Clint Hoagland's picture Clint Hoagland
Risk-Based Testing: Test Only What Matters

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. 

Rajnish Mehta's picture Rajnish Mehta
Helpful Tips for Hiring Better Testers Helpful Tips for Hiring Better Testers

Isaac Howard describes how his experience in hiring staff taught him to interview better and recognize who are the best picks for a standout team of testers. According to Isaac, the best job candidates are driven to learn and capable of adapting to change, two traits crucial to testing. Remember, testing is learning and relearning software every day.

Isaac Howard's picture Isaac Howard
How Skeleton Strings Can Help Your Testing How Skeleton Strings Can Help Your Testing

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.

Brian Noggle's picture Brian Noggle
The Bugs That Deceived Me The Bugs That Deceived Me

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.

Gil Zilberfeld's picture Gil Zilberfeld

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