Is QA Automation All About Benefits? Know The Challenges

The software industry has witnessed a considerable surge. Businesses started to shift online. Further, between 2021 and 2027, the software testing services market is predicted to expand at a CAGR of 7% due to the increased adoption of AI.

In the software development life cycle (SDLC), quality assurance (QA) plays a part. QA automation refers to using automation testing tools to conduct tests on under-development software.

What are the benefits of QA automation?

Less time between feedback iterations

Without test automation, getting feedback on newly built features might take a long time. Test automation shortens the feedback loop by speeding up validation at each stage of development.

The efficiency of a development team may be significantly improved by using test automation since it allows them to catch issues and faults at an earlier stage in the process.

Team Efficiency 

To save time validating newly produced features, your team may consider automating its testing approach. As a bonus, sharing test findings with stakeholders like marketing, design, and product owners is easier. 

Cost Savings for the Company

If your organization uses an automated test environment, you may reduce the amount of money and time spent on product testing. There should be no time spent on manual testing. It may significantly impact a project’s life if this is considered.

Setting up an automated testing environment requires effort and time. There’s also a reasonable probability that you’ll have to shell out some cash for a reliable test automation solution.

A Greater Number of Tests

The number of tests that can be verified effectively through manual testing is finite. The time saved by automating repetitive tasks can be put towards creating and expanding an automated test suite. This raises the quality of the software by ensuring that more of its features have been thoroughly tested.

Additionally, with automated QA testing, developers can create more comprehensive tests that cover more edge situations. The lengthy tests usually skipped during manual testing can be executed without human intervention.

Test Suite Reusability

Creating an automated test suite might be difficult at first. It’s easy to recycle tests for various use cases or other projects after creating your suite. One benefit is that the automated test suite will quickly and readily integrate with new projects.

QA testers are familiar with the technologies required for an automated test suite. As a result, they can use this information to configure test automation for another project.

Minimized Market Entry Delay

As I mentioned, test automation allows for continually testing and validating newly built features. This shortens the time it takes to get items to market by reducing time spent on feedback and testing.

Accuracy Enhancement

In manual testing, even the most skilled tester will make some blunders. The likelihood of an error increases while testing a more complicated use case. Automated tests, on the other hand, can carry out the tests with a hundred percent accuracy, as they always yield the same result.

Beta testers for the betterment

With an automated test suite, the tester can check how the app responds to thousands of beta or fake users. Such capabilities are crucial time-savers for programmers. Manual testing can never adequately imitate this type of behavior.

Support for the Quality Assurance Team

When you adopt an automated testing technique, your quality assurance team will have more time to focus on other duties. Also, the QA engineer’s work becomes much more exciting when manual testing is taken out of the equation.

What are the challenges of QA automation?

QA Automation All About Benefits

High-Quality Scripts

With today’s situation emphasizing continuous integration and involving different teams at various levels, the reliability of test cases and scripts becomes increasingly critical.

The instability of test scripts is a significant obstacle; automation teams spend more time fixing bugs in existing scripts than they do in expanding automation.

As such, the architecture for automating this process has to prioritize the creation of reliable scripts. It has to be set to run on a regular schedule and easily incorporate any updates to the application. 

Limited Automation Options.

Another issue that plagues businesses with test automation is that it is typically programmed to perform at the user interface level. Something important may need to be noticed when we stop testing at the UI level.

To have a holistic test automation method, where we can test the application at several layers, API test automation must integrate with the Functional and the UI levels.


Technical talent is required to maintain a functional test environment.

The proper operation of an automated test regime might necessitate the deployment of some resources and the commitment of continuous technical resources and maintenance efforts. But they are in high demand, and so command a higher wage.

Secret Fees and Postponed Delivery Dates

Triaging failed tests can add time, especially when a fault is discovered. This is especially true if a failure condition must be stated before launch. 

Ineffective Tools

People need access to sufficient means to meet this prerequisite. A tool must address technical and business needs to ensure automation in the testing process runs smoothly. But most QA automation tools need to align with the business’s needs.

In conclusion, businesses should launch their applications fast and keep them flawless for end-to-end users to keep up with this extensive competition.

HeadSpin is a renowned software testing platform and is popular for 90% minimization of production problems. It enables businesses to debug and automate their QA testing remotely. Using its AI testing insights, the business can improve the app further.

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Bret Mulvey

Bret is a seasoned computer programmer with a profound passion for mathematics and physics. His professional journey is marked by extensive experience in developing complex software solutions, where he skillfully integrates his love for analytical sciences to solve challenging problems.