When a company decides to adopt new methods or change existing processes, for example by rolling out new software, it often requires that employees upgrade their skill set or learn completely new skills. One way to ensure that an employee has the required skills is to rely on certification. The same goes for consultants who need to document that they are proficient in the tasks they are hired to do.
Once a test automation strategy has been approved and the implementation plan has been initiated, there will inevitably come a point at which testers will begin asking themselves: “Can we trust the results generated from automated testing?”
As test automation is introduced to the software delivery process, the amount of available test results explodes. Robots, or test execution agents, can run 24/7 without breaks, and, on top of this, the number of test cases accumulate during each sprint. As such, more results are produced to be managed and analyzed. This requires the right approach.
Test automation is a cornerstone in DevOps, and when implemented correctly, it helps increase output quality while containing costs. Not surprisingly, IT departments everywhere are realizing the importance of having an actual test automation strategy, instead of just putting out fires here and now.
Too many test automation projects fail – and often for predictable reasons. To help you avoid these pitfalls, we have condensed the most common issues into this short guide along with related best practices for achieving success with automation.
Once a QA team has made the case for automation and is moving from doing all testing manually to introducing automated testing, the change process often comes with some challenges that need to be addressed.
Automation is a prerequisite for success with DevOps. Especially test automation is a key ingredient when it comes to providing fast and accurate feedback to testers and developers enabling quick reactions to errors, bugs, and changing requirements.
Agile transformation helps businesses manage change and pursue emerging opportunities in any market situation. A key ingredient of this approach is to implement agile testing.
In a world where new business models are disrupting established revenue streams and expectations to the customer experience are constantly increasing, businesses everywhere are struggling to stay relevant. To stay competitive requires efficiency: Fast market adaptation, well-organized change management, and the ability to secure emerging opportunities. One of the ways to get there is through agile transformation.
The Data Builder Pattern is used to automatically create data in the system under test. In this post, I will show how to apply the pattern using LEAPWORK to generate data and increase the value of automated test cases.
LEAPWORK is a great match for automating ServiceNow. In this article, we show one example of how to do that, using dynamic forms and fields from an Excel sheet.
