Biggest Blocks of Continuous testing

Let’s face it: Businesses don’t want—or need—perfect software. They do want to deliver new, business-differentiating software as soon as possible. To enable this, you need fast feedback on whether the latest innovations will work as expected or crash and burn in production. You also need to know if these changes somehow broke the core functionality that the customer base—and thus the business—depends upon.
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This is where continuous testing comes in.

Continuous testing is the process of executing automated tests as part of the software delivery pipeline to obtain feedback on the business risks associated with a software release candidate as rapidly as possible.

Test automation is essential for continuous testing, but it’s not sufficient. Test automation is designed to produce a set of pass/fail data points correlated to user stories or application requirements. Continuous testing, on the other hand, focuses on business risk and providing insight on whether the software can be released. Beyond test automation, continuous testing also involves practices such as aligning testing with your business risk, applying service virtualization and stateful test data management to stabilize testing for continuous integration, and performing exploratory testing to expose “big block” issues early in each iteration. It’s not simply a matter of more tools or different tools. It requires a deeper transformation across people and processes as well as technologies.

Continuous testing has undeniably become imperative—especially now that 97 percent of organizations have adopted agile and 71 percent are practicing or adopting devops (according to Sauce Labs). New Forrester research confirms that continuous testing is one of the key factors separating agile/devops leaders from agile/devops laggards. Nevertheless, most enterprises still don’t have a mature, sustainable continuous testing process in place. Forrester found that even the organizations actively practicing agile and devops have a relatively low continuous testing adoption rate: 26 percent.

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Many organizations have experimented with test automation; typically, automating some UI tests and integrating their execution into the continuous integration process. They achieve and celebrate small victories, but the process doesn’t expand. In fact, it decays. Why? Typically, it boils down to roadblocks that fall into the following three categories:

· Time and resources

· Complexity

· Results

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