SmartBear Hosts Webinar on Leveraging Automated Software Quality to Optimize Applications
Guest Speaker and Research Director Melinda-Carol Ballou joins panel to discuss research findings on automated software quality and continuous testing on Tuesday, June 14, 2022
SmartBear, a leading provider of software development and quality tools, is hosting the webinar, “Leveraging Automated Software Quality to Optimize Applications and Business,” with guest speaker and IDC Research Director, Melinda-Carol Ballou, on Tuesday, June 14, 2022. She is joined by Joanna Schloss, SVP, Product Marketing at SmartBear and Noel Wurst, Director of Storytelling. The panel is discussing key findings from the IDC MarketScape: Worldwide Enterprise Automated Software Quality and Continuous Testing for Digital Execution1 and examining the successful approaches customers are using to improve software quality.
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The need for software quality has never been more vital as organizations race to deliver new online services, mobile apps, and virtual experiences to gain advantage in the digital economy. Customer engagement and retention have become intrinsically tied to the quality of an organization’s software, to the point where application failure can dramatically erode competitive execution and market share.
The new IDC MarketScape, where SmartBear was named a Leader, examines the global landscape for automated software quality, market trends and business drivers, challenges organizations are facing to dynamically scale application delivery, and the tools they are using to help ensure quality.
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The webinar explores how shifting left approaches are pulling quality earlier into development to enhance relevance, responsiveness, time, and expense as well as how AI and smart analytics are shaping the future of testing through automation, self-healing, and autonomous testing. The panel will also talk about establishing effective continuous testing and quality strategies that encompass new and evolving development approaches like cloud-native and no-code/low-code.
