What Should Be Your Goals for Automation Testing?

What Should Be Your Goals for Automation Testing?

By Marc Kavinsky, Editor at IoT Business News.

Whether in the context of your IoT project or for any other software-based solution you are developing, implementing automation testing can make a difference in terms of efficiency, quality and time to market.

If you are not familiar with this concept, then it makes sense to think about the targets you should aim to achieve by making the switch away from traditional testing methodologies.

To help with this, here is a quick exploration of what the goals of any automated testing process should be.

Improving efficiency

Catalyzing the process of putting software through its paces is often the primary purpose of harnessing automation testing rather than relying on manual equivalents.

By automating time-consuming and tedious test processes, you will make the whole development cycle more efficient and hopefully be able to hit deadlines more consistently and get your software out there sooner rather than later.

Likewise you can also automate the testing of updates and subsequent versions that are put out post-release, meaning that there are ongoing efficiency benefits to be gleaned.

Informing programmer decisions

Effective, informed decision-making in a software development context is of paramount importance, and yet manual testing methods are not always the most reliable way to pick the right path forward.

This is where testing automation can also be of use, since it not only provides developers with actionable data in less time than before, but also means that they have access to accurate information on which to base their decisions.

This can eradicate a lot of the uncertainties that might otherwise compromise the confidence of even the most experienced development teams.

Creating simplicity

Another aim of automation testing is to make the testing phase as straightforward as possible, because if it ends up being more complex than a manual alternative, then the other advantages will be less relevant.

This not only applies to the running of the testing, but also to the ongoing maintenance of the testing resources.

Thankfully the power of AI and machine learning are used to allow modern software testing automation solutions to improve over time without the need for manual tinkering, which is another reason to recommend them.

Enhancing quality

Last but not least, the purpose of automation testing should be to make the quality of the end product as high as possible.

This is consistent with the goal of any testing methodology, but with an automated approach it should take less time to pinpoint problems that have arisen, especially if they have come about as a result of a change made to a feature which previously performed as intended.

Most development teams will make use of a combination of manual and automated software testing when learning to code, rather than relying solely on either one or the other. As automation increases its role in the software testing realm, it will become better adapted to taking on tasks previously completed by people, while flesh and blood workers will still be required to test for bugs and issues that cannot reasonably be singled out by algorithms at the moment, creating a symbiotic relationship between the two.

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