Test Automation

In this article, we will delve into the world of automated testing in integration, exploring its benefits, strategies, and best practices for achieving robust and efficient integration solutions.

We all know there have been discussions on using Generative AI and the pros and cons this new chapter of technology gives. I want to share how Generative AI may assist QA test engineers in their everyday work.

In this blog post, I will give a short introduction to how ChatGPT can be effectively used in various aspects of software testing, including test data generation, test development, test management, and manual testing.

This whitepaper elaborates on how to develop a reusable solution to accelerate digital transformation and business assurance for CSP’s by automating their use cases built on Tele Management Forum Open API Standards.

Just by merely designing an RPA solution together with business will inevitably generate great conversations and helps IT people to understand the day-to-day business struggles on a deeper level.

Everyone is moving to cloud these days. Some organizations were the early adopters and are already reaping the benefits of cloud but a majority of them are still going through the transition.

In this post, I want to write about the differences between robotic process automation (RPA) and test automation (TA). Or are there differences?

This blog will focus on business pre-requisites, maturity, approach, framework, methodology, and processing of INCQA – i.e. to ensuring the business’ right platform/tools acquisition and successful implementation and operations.

Test automation has been around for 25 years (give or take) and it has taken us to different levels of testing and quality, but automation is being applied with varying levels of success.

Real DevOps requires real Continuous Testing which requires in-sprint TA – which is only achieved by practicing the 3rd TA era in focus.