4 Considerations For a Consumer Electronics Testing Strategy

By Embedded Advisor | Wednesday, January 29, 2020

As consumer electronics companies today aim to provide superior and innovative products, the industry needs more sophisticated and yielding testing practices.

FREMONT, CA: With today’s business world growing bigger and better, competition is higher than ever before. Therefore, it is incredibly essential to ensure that the products are top of the range to keep up with the rivals. One particular way companies can ensure that they are delivering excellent products is by performing rigorous quality checks beforehand. According to ANSYS, product testing is becoming more beneficial for companies, specifically for consumer electronics companies, which are keen to get their name out in the market. Here is a look at some of the top priorities for consumer electronics testing in today’s world.

• Cloud Testing

Consumer electronics products today have an energy-efficient design, which is made possible in part by effective data processing and quick data transport networks. Cloud platforms are the right choice to design these advanced products, along with operations optimization. Testing of these cloud operations and cloud-based distributed applications in the cloud are essential to driving efficiencies along the product development cycle.

• Unified Test Automation Framework

Consumer electronics testing involves quality assurance across several variants of the same product. A consumer electronics product is connected with various applications running on different operating systems. Automation is a component that is essential for partner integration and development of large scale distributed systems over which smart products are developed. A unified test automation framework can offer automation coverage across the entire product value chain.

• DevOps

Consumer electronics developers face the challenge of shrinking product life cycles. DevOps accelerates the time to market by harmonizing integration and continuous deployment pipeline with various tools. It also combines consumer electronics hardware, firmware, software, cloud, and QA operations and development teams.

• Machine Learning-based Testing

Today, consumer electronics test operations use chatbots and robotic process automation to derive operational efficiencies. Machine learning-powered testing provides data inputs to the testing process, anticipating bugs in the early development lifecycle, leading to high quality. Machine learning aided testing also contributes to new feature development and user experience improvement by analyzing the most crucial user challenges.