There’s a ton of money that can be saved by automating these processes. And there’s a whole host of tools for everything from full orchestration systems to pipeline stripping to make it possible. But the first step is to analyze where time is being spent on the repetitive, easily duplicated tasks and automating those.
In general, we see increased investment required during initial test automation but fast ROI.
xOps Managed Testing Services
Automated testing scales much better than manual testing. Given data on costs and volumes we can do an exact calculation that can help guide you when deciding when to make decisions to make a fuller commitment to automation.
Automation is key to everything we do at xOps and test automation is no exception. Test automation is a core component of a successful deployment pipeline. Our process focuses on key automation target and automation resources. We build automation into the continuous service improvement loop of DevOps.
xOps also uses our expertise in incident and problem management to help drive automation. We build a priority list each week in a scrum on what we are going to automate in the following week. We realign our teams to have dedicated resources for the different programs and make sure that they are involved in the complete process from the inception all the way to release. Our partners provide key input back to the team to drive automation priorities.
While costs shrink, quality and velocity improve
Test automation can save an organization 60-80% against manual testing with elapsed times shrinking from weeks to hours. While costs and time shrinks, quality, flexibility and overall project performance and final product quality all increase. The outcome is more effective projects, faster time to market, greater confidence from the business, and stronger business cases.
Our simple and effective test automation process includes the following steps:
1. Test Tool Selection
2. Define Scope of Automation
3. Planning, Design and Development
4. Test Execution
When to do test automation
1. Regression testing: When the software application is fairly stable --
only regression tests need to be executed
2. Static and Repetitive Tests: Automate testing tasks that are
repetitive and relatively unchanging from one test cycle to the next.
3. Data Driven Testing: Test application functions where the same
functions need to be validated with lots of different inputs and large
data sets. Good examples are login and search
4. Load and performance testing. This really can’t be done manually
There are a lot of different tools out there, and the amount of data that’s coming together is enormous. With the emergence of big data and machine learning, we have the ability to put all the different points of monitoring into one system and bring all the data together to provide a single picture of how everything is performing.
Correlate your performance data with your incident data to actually predict when a problem is more likely to occur so you can fix the root cause or the underlying issue before it impacts your users.