Quality Trail

In the previous post of this blog, we discussed the role of AI in the future of test automation. This was an exploration of what the future will hold, but let’s take a step back and consider why test automation is so important and why current solutions and methodologies are not sufficient for this purpose.

The software industry is heading towards a more automated and intelligent future, with AI and machine learning becoming increasingly important components of every aspect of our modern lives. Governments and the private sector are investing heavily in research and development to create more software solutions for every aspect of life, many of which can have a direct impact on human health and wellbeing. Software is being used to improve banking, healthcare, education, and public safety, while autonomous vehicles, smart home devices, and virtual assistants are just a few of the many examples of how software is taking more responsibilities.

What happens if one of these goes wrong? The risks are becoming increasingly large. What if the software controlling a self-driving vehicle is updated to a new version which introduces a regression bug that prevents it from detecting taller pedestrians on the street? What if a public safety app fails to detect a potential threat because a negative test case had been forgotten, or if the software module controlling an artificial heart recently installed in the chest of one of our loved ones by a surgeon, fails while processing their blood pressure?

Software is taking on more and more responsibilities these days. This is no longer just a matter of a Notepad application crashing on your Windows XP, or an email being stuck in your outbox without being sent. These issues can now have serious implications for human lives. Escaped bugs are no longer acceptable, and software QA methodologies need to be updated and improved to ensure that products are 100% bug-free.

We will read more about how to head towards bug-free software development in the future posts of this blog.