Streamline Test Automation Without Sacrifice
Test automation isn’t a new concept. But as with most things in the digital world, it’s one that continues to improve as user needs change.
Testing is a natural part of any software development, but even the best software engineers can find bugs in the final product. Manual testing can usually detect these inconsistencies before release, but it often proves more time consuming, expensive, and less effective than automated testing.
During its initial heyday, test automation did what manual testing could never accomplish. Automated tests were established one time to perform a predefined set of actions. The tests could then be used in a variety of testing projects, cutting out countless man hours and reducing human error.
At first glance, automation appeared to be the end-all solution to software testing. But despite the many problems test automation solved, it also created new problems that eliminated much of its effectiveness. Early adopters soon realized that their automated tests didn’t scale; that is, when they changed their application-under-test, they had to change their automated tests, too. Engineers often
Early adopters soon realized that their automated tests didn’t scale; that is, when they changed their application-under-test, they had to change their automated tests, too. Engineers often found themselves spending more time tweaking and developing new automated test scripts than they did in actual software testing.
These inefficiencies heralded a demand for improvement that led to the reshaping of test automation software as it should have been to begin with. Solutions now exist that can take already-robust test automation and transform it into a faster, less painful, more effective system that can boost your ROI in the process.
Making Solid Test Automation Stronger
In a traditional approach, testing typically occurred after the development phase against tight release deadlines. This sudden death rush would lead to lower quality test data and reporting, and with little time to fix issues. As a result, companies buckled under the weight of excessive costs and resources and a heightened risk of project failure.
Given the existing idea that test automation should create time-saving and money-saving advantages over manual testing, there still existed plenty of room for improvements, such as using HP ALM test configuration and test data sheets to help streamline the testing process.
The emergence of a new keyword data-driven framework has nearly flipped the grievances of traditional testing by 180 degrees. Users can now ensure development and testing quality at all stages of the software lifecycle by assuming a “client mentoring” style approach. Ultimately, companies can boost their test reporting accuracy and efficiency, lessen the costs associated with testing and error fixes, and reduce their risk of live app failure.
This modernized automated testing solution now enables users to highly reduce the amount of scripting by using these and other common functions, while easily scaling their functionalities as workloads shift. In doing so, users will also notice stronger execution performance in putting the test automation to work.
In many comparisons run under the same conditions against popular test automation products like business components (known as BPT), it has been proven that this type of automated testing can be up to 40% faster at executing automated tests. As testing speeds increase, users can experience fringe effects like discovering and fixing issues sooner, which leads to a reduction in costs and other resources.
This automation framework not only provides a head start to test automation processes, but also improves code maintainability and reusability, along with functionalities like error handling, test recovery, tests execution and reporting.
Instead of creating copious or redundant automation scripts, this new tool can help companies reduce the complexity of their test automation processes, increase defect detection, speed up their application delivery and improve their return on investment.
But simply streamlining the testing process isn’t enough. Rather, users will also benefit from partnering with companies who offer the support and expertise to make it work correctly and efficiently. This means no guess work, no investing in additional resources, and more focus on problem solving than problem finding.
There are many ways to implement test automation, but only a slight few can deliver the profitability and efficiency of the Keyword Data-Driven Framework. The support alone can guarantee your investment will be one well worth it.
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