July 2018 Summaries

Sauce Labs has been recognized by Forrester Research as a "developers' choice" for cross browser and mobile testing in the cloud, with broad developer adoption due to its direct integration into developers' IDEs. The company's close relationships with Selenium and Appium project teams, as well as its commitment to supporting new technology quickly, contribute to its success. With excellent CI/CD integration, fast upgrades for the latest browsers and OSes, and customers achieving over 80% functional test automation in the past year, Sauce Labs is a strong performer in the omnichannel functional test automation tools market. The recognition is a testament to the company's design philosophy of making testing easier and more effective by treating automation as code.

Testing mobile apps poses several challenges to user experience, including crashes that can be costly and frustrating for users and developers alike. Slowdowns can also occur due to issues with accessing data, and the app should not drain the battery unnecessarily. Design problems are often the hardest to detect, but can include navigation and flow issues, clutter and confusion, poor button design, text trouble, and testing these issues requires a combination of user feedback and automated testing.

The traditional view of developers and QA engineers as separate entities is being reevaluated, with the potential for greater collaboration and efficiency in software delivery. Developers can play a more central role in writing software tests, enabling test automation and improving the quality of applications. This approach can break down silos between teams and lead to higher-quality products. While traditional QA roles will not be eliminated, their focus will shift towards testing efficiency, automation, and scaling with the rest of the software delivery lifecycle. By rethinking the developer-QA relationship, organizations can achieve software delivery efficiency and stay ahead of competitors in a rapidly changing technology landscape.

Automated testing is a faster and more scalable way to test applications, delivering deeper insights and providing quicker feedback to development teams. To begin automated testing, it's essential to identify which tests to automate first, considering the frequency of performance and user workflows tied to sales or purchase conversions. Next, choose a suitable testing framework that aligns with your platforms and testing style, and set up an infrastructure capable of handling increased load and parallel testing. Integrating automated tests into CI/CD workflows is also crucial, ensuring seamless feedback to developers. Planning to analyze test results and feeding data back to developers will help improve software quality over time.

The importance of test automation skills in DevOps is growing as software development teams adopt a culture that prioritizes continuous delivery. Test automation is essential for continuous testing and is becoming increasingly important for all IT professionals involved in the software development process. Continuous testing relies on test automation to implement end-to-end automated testing throughout the delivery lifecycle, ensuring quality software can be delivered efficiently. The practice of using automation frameworks and tools to write scripts that automate common testing is necessary for continuous testing. While manual testing still holds value, a good understanding of current automated testing frameworks and tools will pay dividends as AI test automation continues to evolve. As DevOps teams make the move to processes that prioritize continuous delivery, the value of implementing continuous testing through test automation continues to rise.

Here's a neutral and interesting summary of the text: As software testing becomes increasingly repetitive and time-consuming, manual testers must adapt to automated testing to stay relevant. Automated testing is algorithm-driven and can be defined in abstract terms, producing reports comparing expected states with actual results. The DevOps model emphasizes script-driven automation tools for production, requiring full integration of testing into continuous delivery chains. To make the transition, manual testers need to learn about code-driven automated testing, which may involve modifying existing scripts or writing new ones. However, even non-coding testers can find a place in automated testing by focusing on test design, management, and analysis. With the right resources and training, manual testers can acquire the skills needed to thrive in an automated testing environment.