Have you ever thought of designing a machine learning app in 2018 or considering a few DevOps skills that are at present in demand? Well, if not then better start thinking because these trends will all have a major effect on software testing.

With the start of 2018, we see predictions for what will be hot in technology in the upcoming year. Future speaks of flying cars and magical, AI-driven bug-finding — sure is fun, but I want to talk about what is hot right now. In the following post, I would like to emphasize on some software testing trends on an upswing.

The growing trend of DevOps

In the 2010s, Test and development were commonly independent. Developers use to write code while operations people managed to build system. The process involves test servers and the tagging of code to make new builds. Here when devOps blends in, terms of who does what and the technologies used to create builds and deploy to an entirely new environment. For example, DevOps is the host mechanism of containers, such as Docker, to build highly configurable environments quickly. That means that a few minutes to make a new environment is too long.

Understanding machine learning and AI

Such disruptive technologies have brought a huge amount of interest in especially in conference talks and tech articles like these. But as far as I know, these technologies are rarely being used. Well, companies somehow have started to come up with interesting things using both of these software testing trends. For example, Netflix, Facebook, and Twitter are well-known companies that deploy a combination of machine learning and AI to figure out, for example, what movies to suggest or how to order your queue, what advertising should be directed to you, what your feed should look like and so forth.

Work with APIs and Microservices

Testers can accomplish most of the work they would normally do in a UI — data testing, workflows, access based on authentication and failure modes — faster and earlier through an API. For the most part, it is very easy in terms of learning.
External Factors Contributing to Changes in Software Testing

First, the growing use of technology throughout our everyday lives for both customers and business users. According to a 2017 report, we now use an average of nine apps daily, and that’s only on our smartphones — just think about how that number multiplies when you consider all the other technology you use seamlessly throughout the day.

Second, heightened expectations around the software user experience. For example, several reports suggest that 49% of users expect apps to respond in two seconds or less and 80% of users will not attempt to use a problematic app more than three times.

Third, demands for net new software and improvements to existing software to arrive at market quickly. For instance, the precedent set by Amazon of performing 50 million code releases a year — more than one per second — and the ability of a DevOps model to help teams release code 30x more frequently.

So that’s all for now!