An emerging technology called predictive test selection is gaining momentum for companies dealing with broad test suite runtimes.
Fremont, CA: Automated testing has surfaced as one of the most critical technologies for scaling DevOps. Companies are investing immense time and effort to build end-to-end software delivery pipelines and containers.
High performers have been able to deliver applications quicker than ever before, thanks to the combination of distribution pipelines and containers. Nonetheless, several businesses are also attempting to strike a balance between speed and efficiency. Many companies are hindered by legacy software, massive test suites, and shaky pipelines.
Here are the four key trends in software testing:
Establishing a Continuous Quality Culture
Quality must become part of the DevOps mentality as teams automate tests and implement DevOps. As a result, everyone in the company will share responsibility for quality.
Moving large test suites left is challenging because you don't want to bring long delays while running tests in an earlier part of your workflow. Many organizations mark certain tests from a comprehensive suite for pre-merge execution, but the drawback is that these tests may or may not be applicable to a particular change collection. Predictive test selection is an effective solution for running only the crucial tests.
Machine learning and Predictive Test Selection
Apart from test generation, AI has other applications in testing. An emerging technology called predictive test selection is gaining momentum for companies dealing with broad test suite runtimes.
Thousands of experiments were performed continuously in many businesses. It might take hours or even days to get input on a minor change. Although doing more tests is generally beneficial to consistency, it also means that feedback is delayed.
Efforts to automate testing will continue to develop. Manual checks are still used in a surprising amount of businesses' distribution pipelines, but you can't deliver quickly if humans are involved in the vital path of the supply chain, slowing things down.
Manual test automation is a time-consuming method that necessitates dedicated engineering time. Although several companies have some test automation in place, there is still work to be done. As a result, automated testing will continue to be a common trend in the future.
The industry has spent the last six to eight years focusing on linking different tools by creating robust distribution pipelines. Each of these tools produces a large amount of data, but it is only used infrequently, if at all. In the evolution of tools in distribution pipelines, we've progressed from "craft" or "artisanal" solutions to "at-scale" solutions.
The next step is to add intelligence to the tooling. Expect practitioners to place a greater focus on making data-driven decisions.