Systems | Development | Analytics | API | Testing

The Advantages of Testing PRs in Software Development

Testing Pull Requests (PRs) in software development offers numerous advantages. It fosters collaboration among team members, minimizes errors, provides valuable learning opportunities, promotes transparency, and facilitates the onboarding process for new developers. Encouraging Collaboration: PRs promote open discussions regarding code changes, enabling developers to provide feedback, propose enhancements, and seek clarification before integrating new code.

Why is Tricentis the go-to testing platform for SAP testing? Simple as 1-2-3-4

They say a picture is worth a thousand words. The partnership between SAP and Tricentis makes Tricentis the go-to platform for SAP testing, and this image from a Tricentis Roadshow session with Marc Thier, SVP Application Lifecycle Management at SAP, sums it up quite nicely: SAP loves Tricentis! Since the partnership was established in 2020, hundreds of global enterprises using SAP solutions have adopted Tricentis testing applications to help accelerate and de-risk their business transformations.

Lenses 5.5 - Self-service streaming data movement, governed by GitOps

In this age of AI, the demand for real-time data integration is greater than ever. For many, these data pipelines should no longer be configured and deployed by centralized teams, but distributed, so that each owner creates their flows independently. But how to simplify this, whilst practicing good software and data governance? We are introducing Lenses 5.5.

Transitioning to Automation Role: Embracing a Future of Possibilities

The path to automation opens a world of possibilities. It’s an opportunity for professional growth, skill enhancement, and a chance to increase your impact on your team and projects significantly. As a QA professional, you possess a unique set of skills and insights that are immensely valuable in the sector of automation. This transition is not merely a change in day-to-day tasks but a promising venture into a space brimming with innovation.

Episode 01: Role of Software Testing in Bridging the Gaps for Your Digital Transformation Journey

In this episode of Digital Vanguard: Zymr's CTO Podcast, Chloe Upton, a Sales and Marketing Specialist at Zymr, hosts a discussion with Sam Wyatt, an in-house Digital Transformation expert. They delve into the critical role of software testing in modern digital ecosystems. Starting with the challenges of enterprise application testing in dynamic business environments, they explore various automated testing frameworks and the importance of selecting the right one.

Episode 02: QA Outsourcing Decoded: Shaping and Developing Resilient Testing Frameworks

In the latest episode of Digital Vanguard: Zymr's CTO Podcast, Chloe and Sam delve deep into discussions about QA outsourcing. Talking about Zymr as a QA outsourcing services company, they discuss how companies can ensure top-notch quality for their digital solutions. Sam explains the significance of QA outsourcing in today's digital ecosystem, highlighting its benefits such as specialized skills, cost efficiency, and scalability. They explore common challenges organizations face in QA and how outsourcing can address them efficiently.

Leveraging AI and Analytics in Your Data Privacy Program

In an age of rapid technological transformation, governments are playing regulatory catch-up as they try to keep pace with technological developments and the increasing amount of personal identifiable information (“PII”) generated by our every-day lives. Privacy laws regulating the use of PII continue to strengthen (Gartner estimates that while 10% of the world’s population was covered by comprehensive privacy laws in 2020, by year-end 2024 it will be 75%).

How to Fix a Circular Import in Python

Think of two pieces of code (let's call them A and B) that need each other to work. A says, "I need B to do my job," and at the same time, B says, "I need A to do my job." But if A is waiting for B to work, and B is waiting for A to work, neither can start working. This "waiting on each other" situation causes Python to get stuck and throw a circular import error.