As traditional industry and business lines blur in the rapid pursuit of customer-centric ecosystems, there is mounting pressure on developers to release new capabilities, features, and changes quickly. The overall quality of the software is more critical than ever before. If these integrated, inter-dependent ecosystems are to survive and eventually thrive, they may want to look to automated software testing.
Although software drives big ideas and massive changes across numerous business models, quality and testing continue to be the last innovators. Often, organizations view software testing as a necessary evil. Instead, they should embrace it as a strategic driver in a competitive world with limited second chances. In those instances, where organizations see testing and automated testing as an essential element of the overall solution and market strategy, they often succumb to continuous challenges that typically don’t lend themsleves to flexible and straightforward testing processes.
Consider this statement, “Well implemented automated software testing improves development output and speed to market.” 65% of organizations saw a reduction in test cycle time with automated testing and 62% saw reductions in test costs with automated testing (Sogeti, World Quality Report 2020-21). Speed to market through rapid product release cycles is a basic expectation in today’s market. Although this is true, users won’t forgive or, more importantly, are quick to punish buggy and poor-quality software. These issues caused by poor or inadequate automated testing and technical/skill challenges can have a debilitating impact on delivering software.
The importance of platform selection cannot be over-emphasized. It must fit the environment, skills, and objectives of future product roadmaps and is the essential core of your automated testing practice. Furthermore, its value is further enhanced by coordinating test execution with other delivery tools to create a software delivery pipeline best suited for your organization’s needs.
Consider these points while selecting a platform:
Define and manage your tests as small, functional-based modules tested independently or efficiently grouped into functional or end-to-end business process test suites. Start automating small, simple test cases and increase the complexity of your scripts by identifying tests prone to human error, that use multiple data sets, and that require repetitive test runs on numerous builds.
Automation scripts are often flaky and brittle when the configurations, objects, and test data change since the last test execution. Even when scripts are maintained – which is often not the case – the changes are not continuously updated in the test script. This can cause erroneous test results. In many cases, it is impossible to fix scripts in a timely, cost-effective manner manually. Self-healing tests identify and remedy these issues, which often can be as simple as a button that has moved somewhere else on the page.
Reduce variability around test failures. Tests should fail when there is a bug. You can design and implement mocks and stubs until real system components are available for end-to-end testing.
Create a governance structure for automation testing. Make transparency a core element of the automation strategy. That way, all stakeholders – developers, database teams, business analysts – can contribute to the success and take advantage of the value provided by the platform.
Qyrus is an on-demand SaaS codeless automated testing platform that deploys machine learning algorithms, an intuitive user experience, and a collaborative codeless approach to test automation. It not only empowers developers and testers with automation testing, but, just as important, the business team. When you partner with Qyrus, you can expect an exceptional user experience and greater productivity from your development and testing teams.
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