Why Automation Testing is Necessary
Why Automation Testing is Necessary

Automation testing is the application of tools and technology to testing software to reduce testing efforts, deliver capability faster and more affordably. It helps in building better quality software with less effort.

Many companies are already using automation testing to a certain extent, but still, largely depend on manual tests because they don’t know how to properly leverage the benefits of automated testing in their development process.

Manual testing is performed by carefully executing predefined test cases, comparing the results to the expected behavior, and recording the results. Manual tests are repeated each time the source code changes and is prone to errors. It is also difficult to execute on multiple platforms.

It is necessary to invest significant time and effort when introducing automated tests in an organization. However, there isn’t much of a financial commitment, at least not while starting on a small scale. Numerous open-source test automation tools could be made use of, especially in the early stages.

Usually, companies whose main product(s) is not software are afraid to invest in Automation testing services fearing that the returns won’t be as expected or if there will be a positive ROI at all.

In the rest of the article, let’s have a look at why automation testing is necessary for your organization and the benefits it can bring.

Reduce Cost (Of Failure)

As touched upon earlier, the initial cost of starting with automation testing is not too high. But once your organization is truly up and running with the idea of test automation, you would want to invest in better tools, better servers, hire resources to maintain the infrastructure, etc. These costs are not insignificant.

The automated tests aren’t going to write themselves. Creating valuable automated tests takes human time and effort, and it won’t happen overnight.

If you want to justify introducing automated tests, don’t just look at the financials, instead, look at the cost of failure. What does it cost the company if problems are not found while manually testing and escape into production? Do you stand to lose customers? How much time, resources, and money need to be spent rectifying the situation?

A really strong set of test suites that are executed repeatedly each time a change is made to the code reduces the risk of issues leaking into the field. Automated tests help in finding bugs early in the software development lifecycle, thereby reducing the risk of delivering faulty software.

At the end of the day, delivering a quality product to the market beats any other type of savings and cutbacks.

Save Time

While the initial setup of automated testing cases takes a lot of time and effort, once you’ve automated your tests, you can reuse these tests. Automated tests can be executed significantly faster than manual tests, are less error-prone, and are less labor-intensive.

In a constantly changing codebase, you can automatically execute the tests on each commit. You won’t have to continuously carry out manual steps by setting up the environment or remember the steps to execute each test. Everything is done automatically.

Once the setup is in place, automated tests can be repeatedly run, reducing the time to run repetitive manual tests from weeks to hours.

Once written, the tests can be executed any number of times with no additional cost. The tests are also available 24/7, unlike manual testers!

It is a common practice in software development teams to run basic unit tests many times a day (usually for each commit) and larger and time-consuming integration and UI tests a few times a day (usually after office hours).

Foundation for CI and DevOps

Automated tests form the basis of any Continuous Integration or a DevOps setup. Essentially, both CI and DevOps depend on the philosophy of “Fail fast, fail early”. Every commit to the code base is to be tested automatically and the results are reported back to the developers. The developers prioritize fixing any of the tests that have broken the build ensuring that the mainline code is always working as expected.

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