Automation

This blog summarizes the World Quality Report’s chapter on Intelligent automation and focuses on the future trends in test automation and robotic process automation (RPA).

There are many open-source and commercial tools available in the market for test automation. In this article, I am going to list down some of the best automation tools (in no particular order) which is the most famous and widely used.

Recently I had lunch with a colleague working on a test project for a mobile application. The application had different data and screens on it depending on the coordinates the mobile device was at.

Over the past five years, various intelligent automation (IA) platforms have become popular ways to leverage software to drive process efficiency. Where Six Sigma and related process improvement frameworks sometimes fall short, IA can help continue the journey to increase revenue and margin.

With ever-increasing agility and automation supporting a move to continuous deployment, the role of the tester is becoming increasingly important as we transition from control to assurance.

In Buddhism, Samsara means the endless cycle of death and rebirth. Life is seen as a circle where death is only a gate to rebirth and beginning a new cycle. The Buddhist say that Samsara is suffering. We cycle through this endless path of suffering over and over again. Same cycles repeat until we can’t tell them apart. Feeling like you have already lived this moment. Sound familiar?

Before you automate something, think about how something is done.

Upon understanding the science of Collaborative Intelligence and its potential benefits in previous article, its interesting to understand illustration of the same with real life example. Here we discuss one such incidence and thereby application of collaborative intelligence based on the HAWDI platform – Our platform for Collaborative Intelligence.

Recently I have been set the challenge of trying to work out how to test robots and how to test (an) artificial intelligence. You’ll be pleased to know there are no spoilers in this as, well quite frankly, it remains a work in progress. Under duress, I would say my current thinking focuses on how predictable a robot should be, and how the concept of ‘expected results’ falls apart with artificial intelligence.

In this article, I assume the basic example of a TAS SLDC being applied synchronously to the SLDC of a System under Test (SUT).

Test automation is preventive in nature. It is supposed to prevent bugs from getting into production before they can be detected. In the best case, test automation is invisible to the end user. So how do you evaluate something that shouldn't even appear?

Sogeti's annual TextExpo event discussed the future outlook for the software testing industry, led by top professionals in the field. Read about my compilation of how artificial intelligence, machine learning or intelligent systems affect testing now and in the future.