Each team reaches a point in its growth when the members have become used to working together, they produce high-quality goods, and everything they do is excellent; nevertheless, they must move on to the next stage of development. And now it’s time for lean manufacturing to take over.
The team starts working on improving current processes in order to minimize or even eliminate the loss of time, resources, and other resources. At one time, the number of cases that would surface as the virus spread across the nation was staggering, with hundreds of thousands of awaiting test results placing a strain on the healthcare delivery system. As businesses turn to software as a source of sustainable competitive advantage, they want high-quality software delivered quickly and at volume.
As a result, businesses must rethink how they create and test applications, shifting away from testing as a stand-alone activity at the tail end of the development process and instead integrating quality throughout the development lifecycle.
Moreover, it is at this point those difficulties emerge in the automation of procedures in order to spare the time of highly trained teams of QA and DEV on more complicated tasks needing direct human involvement. This is a distinct and large subject, we will just discuss a portion of it – test automation.
Table of Contents
What is the most common reason for starting the automation of the testing process?
- Manual test execution requires an excessive amount of time;
- It is possible for a person to make a mistake during the manual checkup;
- Because of automation, the team has more time to work on more difficult issues.
- When it comes to identifying possible software problems, automated regression checks are the first to notice them.
- Program auto-tests give more timely information on the state of the software;
- The documentation they provide is excellent;
- They enable us to write code just once at the appropriate level (TDD).
The question is, how can we communicate critical health and outcomes information to the government and other important stakeholders in a timely fashion?
Accelerating test results is just one component of the answer. As part of the implementation, EY assisted with the development of bots that automate the data aggregation and generation of these critical reports, which relay critical test data such as the number of positive test results, the number of pending tests in the backlog, and the length of time they have been pending.
This information assists the government in developing its response plan by ensuring that they receive the most recent and most up-to-date test information. This gives test operators a clear picture of where they should concentrate their efforts, and it enables managers to load balance the inflow of tests among testing centers, further improving the time it takes to conduct tests and deliver findings to patients.
How can companies, with the assistance of the appropriate People, Processes, and Tools, replicate the same magic in the World Food Programme context?
- Putting best practices in place to guarantee that Continuous Testing is done
- Optimizing test automation and integrations using continuous integration and delivery (CI/CD) tools and repositories
- Using continual feedback loops to shift left and reduce major faults is a good idea.
- Syncing the CI/CD process in order to standardize and automate as efficiently as possible
- Provisioning of test environments in an age when remote access is the norm
- Increasing the effectiveness of test orchestration in order to achieve maximum code coverage and faster iterations
- Multiple executions and teams are being managed and their outcomes are being reported.
Final Thoughts
To summarize, if you want to simplify your workflow while also taking advantage of the newest development methods, test automation is a must-have. However, the advantages of automated software testing will only increase in the future as more effective tools and testing frameworks become available. This is due to the fact that new and more mature testing frameworks are introduced each year. The following are some of the new areas that test automation has lately conquered:
- Testing based on models
- Analyses that are predictive
- Robotics and automated systems
- Automation of API test cases
So, if you don’t want to be left behind in technological development, start using test automation right now. It will accelerate the development and delivery process, make the introduction process easier, and improve the efficiency, accuracy, and productivity of tests. And the greatest thing is that you’ll receive all of these benefits without having to sacrifice the overall quality or performance of the app.
