Testing and QA
Leadership In Architecture – 3cs To Remember
One basic but important customer expectation is that their software product should be of very good quality
Continuous Testing: How to Measure & Improve Code Quality
One basic but important customer expectation is that their software product should be of very good quality
Which Software Metrics to Choose, and Why?
Sometimes people just look for an available or known set of metrics and then add more as and when they discover anything new. But does it really make sense to try and apply those known metrics to any scenario?
If You Build Products, You Should Be Using Digital Twins
Digital twin technology is one of the fastest growing concepts of Industry 4.0. In the simplest terms, a digital twin is a virtual replica of a real-world object that is run in a simulation environment to test its performance and efficacy
Developing a Cloud-Based Point-of-Care System: QA Lessons Learned
Learn how to overcome engagement challenges and improve QA in this real-world case study featuring a cloud-based technology solution.
Best Practices for Microservices QA Automation
Learns how to build a dashboard to automate QA for all the disparate processes of a microservice architecture.
Shift-Deep Analytics: Insights from the Testing We Do
This paper explains the Shift-Deep approach and the various toolsets, algorithms, and mechanisms required to execute it. We also look into a few use cases and examples where this has been done successfully.
A Kickstarter for the Test-driven Development Python Django Approach
In their simplest form, test cases are the set of conditions under which a tester determines whether the software satisfies requirements and functions properly. In layman’s terms, these are predefined conditions to check that the output is correct.
Develop Restful API with Go and Gin
Go is a powerful and easy to learn language that any programmer can adapt without difficulty. It’s as simple as its name, Go or Golang.
Testing in Production: A New Paradigm for Shift-Right
Testing in production (TiP) lets a software development (Dev) and IT operations (Ops) team prepare for possible bugs. It’s also helpful in analyzing the user’s experience.
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