Blogs and News

1 - AI-augmented test analysis and optimization

Testing by itself is done to validate the software solution being developed and guarantee a certain agreed upon level of quality for the product and to make sure no major regression happens in the software. 

Machine Learning methods will allow us to bring a larger amount of statistical analysis tools to bear on all the test and telemetry our software pipeline is producing. We will see a surge of different software vendors bringing solutions for different kinds of dashboards and visualizations to provide a way to analyze the validity of our software and provide metrics for just about anything. 

The path to becoming a seasoned test automation professional is more about the journey itself than reaching and conquering the final level, says test automation evangelist Jani Haapala. So far, we can see four levels, but other more challenging and enlightening stages may lie in our future.

Even in the best of times, we are constantly being asked to deliver more for each dollar in our budget while simultaneously maintaining existing output. Here are a few tips and tricks to help you stretch your IT budget in 2019.

Expanding the use of test automation beyond standard release pipelines to include security testing can offer major benefits. The question is, how can we integrate security testing into the software development life cycle?

In today’s fast-paced world, no one questions the overwhelming benefits of test automation. In a rapidly-moving environment, test automation ensures reliable test results, boosts the productivity of quality assurance and helps decision-makers lead with accurate and timely information. Now, new human-readable software tools have put the power of test automation into the hands of non-tech business testers.

Ecosystem testing presents IT professionals with unique challenges: in an increasingly interconnected world, ecosystems are more complex and interdependent than ever. Moreover, there are no standard solutions for testing complicated systems that may feature hardware, software and multiple interfaces.