Reducing time to market, while making sure the product is compliant with established and/or internal coding standards as well as ensuring reliability.
Promoting effective team work when requirements change, particularly when teams are large and working in different locations, with both internal and outsourced resources.
Finding the optimum balance between development speed and QA and Security Initiatives while still maximizing profit.
Enabling effective code reuse which cuts development time as well as improving maintainability, software security and reliability.
Detect defects that other bug catchers miss
Other bug catchers overlook problems which only static analysis can find.
QA-C and QA-C++ identify more bugs while producing less false positives and negatives. This means that less development time is wasted investigating bugs that don’t exist.
Bugs and coding standards violations can be fixed as they are created
Static analysis provides continuous checking to monitor coding standard compliance and identify bugs as they are created.
Catching defects often and early reduces the cost and effort involved in fixing them.
Developers quickly learn good coding habits
Immediate and contextual feedback helps developers to write clean, secure, and compliant code. Feedback is provided within their IDE making it easy to write code that fits with your organization’s expectations.
Coding to the same standards helps even large teams, based in different locations, to produce code that is easy to maintain, build upon, and introduce to new developers.
Reduce time to market by writing software that passes mandatory testing
Defects in safety-critical or mission-critical software can lead to system failure, injury, or even death. This means that it is very important that industry standards designed to reduce these risks are met.
Using static analysis means that many bugs have already been fixed before the end of development. This cuts down the work required to pass mandatory tests and reduces the overall time to market.
Static analysis is most effective for large and complex code bases with a mixture of new and legacy code.
Millions of lines of source code can be automatically analyzed to ensure that all new and existing code meets your organization’s standards.