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Tasked with building the embedded software component for a next-generation human prosthetic, the Johns Hopkins University Applied Physics Laboratory software team turned to Klocwork's source code analysis tools to help ... More
Demanding more sophisticated feature sets, advanced user interfaces, and perpetual connectivity, the next-generation of embedded devices are driving the accelerated adoption of multicore and multiprocessor ... More
In the push to meet demands for functionality and speed, software teams are moving away from single processor architectures at a rapid rate. But the realities of developing software for these next-generation ... More
Producing high-quality, feature-rich software while meeting regulatory guidelines presents a unique set of challenges for those developing medical device software. In this paper for medical device software managers, learn how an effective verification process can help achieve FDA compliance and meet productivity goals.
Tasked with building the embedded software component for a next-generation human prosthetic, the Johns Hopkins University Applied Physics Laboratory software team turned to Klocwork's source code analysis tools to help ensure the software's reliability and boost developer productivity.
As a manufacturer of medical electronics, meeting the FDA's rigorous safety and quality standards is crucial to Stockert. With the safety of their devices depending significantly on the quality of software they develop, Stockert invested in Klocwork's source code analysis tools. Learn how their static analysis deployment has helped Stockert achieve FDA certifications, gain more trust in their code quality, and increase development efficiency.
As a market-leading provider of healthcare technology, Schiller has deployed Klocwork tools, including the Connected Desktop, to help the company meet its MISRA standards, speed up testing, and achieve higher quality.
Embedded software development teams are striving to meet growing market demands while juggling increased software complexity across globally distributed teams. Nowhere are these challenges more amplified than in the medical device sector, where resources are limited, yet code complexity is growing at one of the fastest rates in the industry.