The software industry is transforming rapidly due to new changes brought on by artificial intelligence (AI) and machine learning (ML). AI & ML have democratized many aspects of the software testing process helping businesses, small and large, save time and money. As AI bridges the technical gap required in many jobs, more people will be able to add tremendous value to development teams — without the need of a computer science degree.

As 2021 winds down, we wanted to share an overview of the new things the Zephyr team did this year to help you get to the next level of quality – and offer a sneak peek at things to come.

Hello Katalians! Let’s go straight to the point, our latest release of Katalon Studio (8.2.0) is here, and it is awesome. For this release, we focused on speed and performance, and we are happy to announce that Studio now consumes less resources and gives more horsepower to your software delivery pipeline.

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. Over the course of two decades, he has helped Fortune 500 companies implement Agile testing practices. He has also authored a number of books on quality engineering and test automation. In this QnA, Ukkuru lays out the scope and depth of his experience without even trying.

The software Quality Assurance role (QA) has traditionally been seen as a person who finds bugs and tries to break things. While these tasks still remain a big part of the QA’s role, the industry has seen a shift towards a more holistic approach where the QA role advocates for the overall quality of delivery — both product and process. Incorporating the exercise of “shoulder checks” into the agile software development lifecycle increases quality output.

Testing is the backbone of the Agile software development methodology. The efficiency of the testing process directly impacts the quality of the deliverables and the goodwill of the organization. Buggy software can lead to poor user experience, delayed project timelines, diminished brand value, and revenue losses. A strong testing process consists of several well-planned activities with definite timelines and a set of clear expected outcomes.

Free open-source frameworks, libraries, and tools are the go-to solutions for automation testing. The main difference between these is knowing your preference between creating your building a brand new test automation framework using libraries, or working on a made-ready tool where testing is all you will have to care about. This article gives you a quick glance at the Top 10 Free and Open Source Testing Tools, Tools, Framework & Libraries.