top 5 challenges in automation testing

 5 Challenge Top Automation System

1. The lack of skills needed is needed for testing.

2. Lack of stabilization before testing automation.

3. labor-intensive lab management.

4. Dynamic test automation.

5. Amount of extraordinary test data.

Is there anything familiar? You are not alone. Learn how to solve the 5 top challenges today.

1. Lack of skills needed

Test automation is art. But, not everyone is an artist. Even though the automation test offers a number of benefits, not everyone has the right skills to succeed in doing it.

Therefore, manual testing still occurs when the team compensates for existing automation gaps. Or, they see it as a stable alternative.

This results in delay and disconnects the connection with the R & D team, which is usually two or three steps ahead. To match their steps, testers need to complete their cycles in four to six hours.

But manual testing cannot meet development steps. It was then pushed to the end of the cycle. Instead of reducing the release rhythm, they extend it.

Best Practices: Build the Right Skills

Good hire the right skill set to execute automatic tests or train your team to do it in the right way.

2. The team does not stabilize the test before automating

If you just start with automation, the process is similar to riding a bicycle. Before you take off, you need to balance.

We often see the DevOps team build all their tests and run them without stabilizing first. The result is a failure, frustration, and trust problems with automation. Therefore, the team returns to manual testing.

Best Practices: Build a Modular Approach

Build your test locally on a real device/browser.

Run your test every day to ensure balanced execution and no blockers.

Tie your execution to CI and run your test constantly (at least every night).

Increase your digital platform test coverage and run more often.

Maximize your automation coverage up to 90% (to enter the friendly-DevOps zone).

3. Lab management is a burden

At present, there are still teams that prefer to build and maintain their own laboratories. This is not necessarily a bad thing. But, in-house laboratories are difficult to manage - and expensive.

With a new operating system, the device, and the browser version is consistently released, the lab can quickly become outdated. As a result, the team can spend a lot of time maintaining and running their labs as opposed to testing.

A US-based executive in a large bank has recently made points about this problem:

"We are in the business creating and maintaining bank testing activities. We are not in business managing IT resources. This tradeoff must always guide us, and we must maintain a balance for testing at any time."

Best Practices: Use the Cloud-Based Test Lab

Having a Cloud-Based Laboratory is the key to continuous testing unless there are several specific testing requirements/scenarios with IOT, special networks (especially in telecommunications space), etc.

4. Test automation becomes dynamic

Unlike the waterfall methodology, the DevOps process requires a unique test capacity at every step of the Software Development Cycle (SDLC).

With that, the execution layer must be directed to automation on the scale. This allows the team to increase or fall at a different time point.

To reach coverage metrics, the team must be able to run their tests in parallel mode and define priorities for execution. They must also be able to queue and better regulate the overall testing process between the team.