SAN FRANCISCO -- LambdaTest, a leading cloud-based unified testing platform, and Inflectra, a global market leader in IT Software Lifecycle Management solutions, announce their strategic partnership to revolutionize the way development teams manage and deliver software projects.
The integration of LambdaTest and Inflectra's SpiraTeam forms a unique solution that covers the essential facets of software development, such as managing programs and portfolios, collecting requirements, planning releases, managing test cases and issues, setting baselines, and handling task workflows, all within a unified framework.
Adam Sandman, CEO of Inflectra, expressed his enthusiasm about the collaboration: “We are excited to announce our strategic technology partnership with LambdaTest, a global leader in automated testing. By combining LambdaTest‘s powerful cross-browser testing platform with SpiraTeam’s intuitive project management software, we aim to provide developers and teams with a seamless workflow, ensuring efficient testing and project delivery. Together, we will help businesses to scale the delivery of their critical software with speed, quality, and low risk.”
In response to this collaboration, Mayank Bhola, Head of Products and Co-Founder at LambdaTest, shared his insights on the impact of this integration: “This partnership with Inflectra is a significant milestone for us at LambdaTest. By integrating with SpiraTeam, we are creating a synergy that will redefine efficiency in software development and testing processes. This robust solution promises to streamline workflows and enhance the quality of outputs, ultimately leading to successful project deliveries.”
This strategic partnership will benefit a diverse group of users, ranging from developers to project managers, by equipping them with tools that are both powerful on their own and even more functional when combined. The collaboration smooths the transition from project management to testing stages, guaranteeing the delivery of software products of superior quality in reduced timeframes.
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