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Web and mobile automation testing challenges plague every team. In this blog, we will take a closer look at some of the the biggest test automation challenges and learn how to address them.
The top 5 test automation challenges that affect mobile and web testing teams alike include:The Lack of Necessary SkillsTeams Don’t Stabilize Tests Before AutomatingLab Management is BurdensomeTest Automation Becomes DynamicSorting Through All the Data
The top 5 test automation challenges that affect mobile and web testing teams alike include:
Let us explore these challenges more in depth.
Web and mobile test automation is an art. But, not everyone is an artist. Although test automation offers teams a number of benefits, not everyone has the right skills to do it successfully.
Because of this, manual testing still occurs as teams compensate for any existing automation gaps. Or, they see it as a stable alternative.
This results in delays and a disconnect with the R&D team, who is usually two or three steps ahead. In order to match their pace, testers need to complete their cycles in four to six hours.
But manual testing cannot meet the development pace. It is then pushed to the end of the cycle. As a result, teams need to add a manual regression — also called “stabilization phase” — at the end of the sprint. Instead of reducing the release cadence, they extend it.
Either hire personnel with the right skill set to execute automated tests or train your team to do it the right way.
Another critical web and mobile testing challenge is stabilizing their tests before starting the automation process. The process of getting started with test automation is similar to riding a bike. Before you take off, you need to balance.
We often see DevOps teams building all their tests and running them together without stabilizing first. The result is failure, frustration, and trust issues with automation. Because of this, teams revert back to manual testing.
The best practice for building a test automation foundation is this modular execution approach:
Today, there are still teams that prefer to build and maintain their own labs. This isn’t necessarily a bad thing. But, in-house labs are hard to manage — and expensive.
With new operating systems, devices, and browser versions consistently being released, labs can quickly become out of date. As a result, teams can spend a lot of time maintaining and running their lab as opposed to testing.
An executive at a large US-based bank recently made this point about the issue:
“We are in the business of creating and maintaining the bank’s testing activity. We are not in the business of managing IT resources. This tradeoff should always guide us, and we should keep the balance in favor of testing at all time.”
Having a cloud-based lab is key for continuous web and mobile testing unless there are some special testing requirements/scenarios with IoT, special networking (especially in the Telco space), etc.
Different from the Waterfall methodology, the DevOps process requires unique testing capacity at each and every step of the software development lifecycle (SDLC).
With that said, the execution layer should be geared towards automation at scale. This allows teams to scale up or down at different points in time.
In order to achieve coverage metrics, teams should be able to run their tests in a parallel mode and define priorities for executions. They should also be able to queue and better orchestrate their overall testing process between teams.
The best and most successful way to approach automation is to start small and then scale. However, many teams do not have the right tools to scale appropriately. When teams don’t have the right tools, it creates a disconnect with the R&D team. Automating at scale requires the right combination of people, skills, and tools.
There's often a huge influx of data with DevOps automation. That data needs to be reviewed and analyzed. Teams often find they are swimming in a sea of data made up of log files, architects, and test results. However, this data does contain a lot of useful information. The challenge is actually spotting it.
For example, insights from data can inform R&D teams on what fixes need to be made. Making sense of all the data is a big undertaking for many teams, especially those that are not equipped with the right tools.
To achieve fast feedback, you need to be able to sort through the noise. Today, the reality of CI/CD is that it requires teams to execute in minutes and analyze in minutes, understanding where problem is. Using test analytics can help you understand the problem and avoid it.
[Related Resource: Test Automation Basics]
What sets leading companies apart in the world of test automation? In this session, Johnny Lam, Solutions Engineer, draws on his experience working shoulder to shoulder with trailblazing global companies — from Fortune 500 to startups — to strategize, implement, and execute their test automation initiatives. What have they done to speed up and scale their testing cost-effectively? Get the answers in this session.
If you want to be successful with continuous testing, you need to leverage modern tools.
Here are the 4 components you should look for to solve your automation testing challenges today:
This refers to test automation creation and the tools used to do it.
Test creation tools should be agnostic to the level of user — whether a tester is an automation ninja or a manual user with basic knowledge. Ultimately these tools will allow manual testers to begin executing automation. And these tools should enable advanced testers to focus on higher priority tests.
Perfecto's test creation tool helps you with every aspect of testing. Test scripts. Test authoring. Test validation. Test maintenance. And so much more.
This refers to the ability to successfully scale test automation operations.
The solution should offer capabilities that help teams take a small, locally-run test and expand it across multiple platforms, devices, and browsers. This ensures the right scale and coverage.
Perfecto's test execution tool helps you accelerate automated testing. You can even run automated tests across multiple platforms with one script.
In today’s competitive world, teams need to have the ability to conduct a test at any time.
Your solution needs to provide open access to the lab and equips teams with the right tools to run and perform tests. This ultimately helps you be adaptable and keep pace with the new releases.
Perfecto's test lab gives your team the ability to test apps against thousands of devices and browsers — from one spot.
To achieve success with continuous testing and automation, teams need to be able to effectively see clear and accurate test results quickly. What’s more, they need to identify problems quickly.
Remember, automation creates noise and false negatives, so teams need to be able sort through this to provide the necessary evidence.
Perfecto's analytics and reporting tool helps cut through the chaos. You'll know exactly what's going on with your continuous testing and test automation efforts.
The only way to successfully address the top testing challenges is to use a solution that combines the 4 components listed above.
If a solution is missing one of the components, a critical part of the continuous testing process is lost. What’s more, there is a good chance teams will spend a significant amount of money accounting for gaps or compromising quality.
As teams make their way towards effective continuous testing, achieving good test automation and analysis is key to that success.
Want to learn more about effective test analysis? Quit digging through the data. Explore Perfecto’s Smart Reporting and Analytics. It’s a powerful automation management dashboard that can give you the insights and fast feedback you need.
Smart Reporting and Analytics
See for yourself what Perfecto's end-to-end continuous testing platform can do for you. Get started today for free.
VP of Product Management, Perfecto
Tzvika Shahaf is the VP of Product Management at Perfecto. His experience includes business development, strategy, and investment in technology companies and venture capital firms. His passion is building new, powerful, and effective ways to collaborate with Global 2000 enterprises in order to resolve high-impact business problems using data-driven processes and analytics. Tzvika is partnering with leading DevOps teams to revolutionize the testing space by making it smarter, faster, and cost effective with a clear goal of maturing software delivery lifecycle. Tzvika is keynote speaker at industry leading events, blogger, and a Co-Author of the book, “Continuous Testing for DevOps Professionals: A Practical Guide from Industry Experts.”