5 Continuous Testing Challenges Every Developer Faces | Bits&Bytes
Mobile app testing remains the biggest bottleneck of a software development lifecycle for many teams. We’ll go through the most common challenges in continuous testing and give you ideas, how to solve them.
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1. It All Starts with Test Design
Things get tricky already in the test design phase when you start writing down the requirements. It’s a manual task it takes a lot of your time and it isn’t always accurate.
The solution is automation. Automating test design will help you reduce testing time and eliminate defects. Use tools that can generate the exact number of test cases needed and provide sufficient coverage.
2. Test Data Management Will Cause You Trouble
According to Continuous Testing Report 2019, 55% of respondents spend 30-60% of their total testing time on test data management activities. The main struggles are:
extraction of test data spread across multiple databases
limited access to production systems
maintenance of multiple dataset versions for different tests
creating test data without copying the production data
To take care of it you need to apply automation in test data generation and use reliable TDM tools.
3. Test Environment Management Won’t Be Easy
You need to have several environments for different purposes because, in continuous delivery, tests run in parallel in the development phase and integration phase. And it’s not a secret that to build, maintain and manage multiple environments is expensive and time-consuming.
The solution is a private device cloud. They are accessible anytime, easy to manage and they don’t require complex physical infrastructure and back-end systems.
4. Lack of Proper Tooling to Automate at Scale
Traditional automation tools are built on legacy technologies and have the following key issues that are attributed to the failure of reaching continuous testing.
Limits on concurrent test sessions
Slow test execution
Hard to automate tests at scale
Try this, whenever a compatibility test suite is under execution against a big number of real devices or browsers, run CI tests on one or two spare devices in parallel without losing time waiting for the compatibility test to complete.
5. Is Test Orchestration Even Possible?
When creating a working software delivery pipeline, you have to put different pieces together and make sure they work properly. It’s an uneasy task for testing alone.
Make it easier by implementing machine learning and artificial intelligence to make the “smart” orchestration of testing. AI-powered tools can determine which tests are required at particular development phases without manual intervention.
We know that continuous testing isn’t easy, and there are challenges most of the companies may face. To understand the continuous testing full potential, you first need to automate everywhere possible to move fast, like test design, test orchestration, test execution.
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