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The Next Big Thing in QA

By ESOutlook | Tuesday, February 05, 2019

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Quality Assurance (QA) is a measure taken to ensure a defect-free application. Several tasks can today be performed online, creating the demand for web app testing and automation skills for web-based solutions. The automation of tests via QA shifts more towards life cycle automation. The Internet of Things (IoT) tackles testing slowly from a life-cycle perspective rather than traditional testing.

When testing IoT systems, QA automation requires the use of adaptive techniques, which traditional test methods cannot provide. In this way, advanced QA automation enables companies to integrate automation in the early and during the entire life cycle. QA teams realize the importance of being able to test embedded software and Big Data, including new technologies. QA language skilled resources have a keen eye for the ability to foresee technical problems and can help get the code right for the first time.

Check out: Best Quality Assurance Solution Providers: QASourceQAreaQA Mentor

The landscape is witnessing a radical change in data input. From feedback through satisfaction surveys, QA practices can now be improved by analyzing the various forms of widely available data, mainly social media, through websites. Based on customer experience research with the product/service, QA teams can then generate actionable intelligence that can also be used for predictive and prescriptive analysis.

QA teams build frameworks consisting of security, privacy, and data integrity. These aspects lead directly to data integration platforms of the next generation, which help decode data for further analysis. For detailed quality assurance over the long term, it is essential to identify the right tools to help increase testing efficiency or efficient test automation. Quality data helps companies gain confidence in the data and strategize. Today, addressing quality is more about ensuring that development itself is quality-centric rather than validating the software after the development phases have been completed.

AI is the new advantage for software testing, as it is the key for teams that keep pace with DevOps and produce software and apps of higher quality. This will have a positive impact on conversion, customer retention, and eventually revenue generation. The demand for quality mobile websites and applications will only increase in the coming years.

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