When lives are at stake, there's no margin for error. Critical software bugs, such as quality defects, are simply unacceptable in medical devices. Yet, medical device software development teams are under many of the same pressures as those in other mission-critical industries.
As with the general software development community, medical device companies are striving to differentiate their products based largely on features supported by software. Demands for more speed, lower power consumption, and sophisticated-yet-intuitive user interfaces are driving application size, as well as code complexity.
Optimizing developer productivity is a key strategy in achieving on-time project delivery and software quality targets in the medical device market.
Static analysis does not require code execution so there is no need to setup a multitude of production scenarios and settings, and test cases are not needed. By the time the development team is ready to test all software components, serious coding defects will be removed, enabling more efficient functional and shorter FDA validation cycles.
By enabling developers to identify and fix critical bugs of all kinds while they are working, Klocwork static analysis makes it possible for medical device manufacturers and their suppliers to conduct early testing for serious, crash-causing defects in code. This can be done at compile time, well before any integration, module or unit tests begin.
Medical device manufacturers can face crippling costs when software fails in the field, as well as being subject to regulatory compliance in many industries. Klocwork Insight can assist organizations in addressing many of these requirements and it helps organizations to demonstrate that they are:

To keep pace with ever-increasing customer demands on software functionality and time-to-market expectations, software developers have had to evolve the way they develop code to be both faster and higher quality. [...]
Automated source code analysis (SCA) technology locates and describes critical bugs and security vulnerabilities in software source code. [...]