Leveraging static analysis

on May 12, 10 • by Alen Zukich • with 1 Comment

In a previous post I discussed the process where we practice dogfooding.  This is the process of using Klocwork on Klocwork (KonK).  We started this program several years back with the hopes that we would learn some valuable lessons about usability, performance and anything else that would give us an edge.  The...

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In a previous post I discussed the process where we practice dogfooding.  This is the process of using Klocwork on Klocwork (KonK).  We started this program several years back with the hopes that we would learn some valuable lessons about usability, performance and anything else that would give us an edge.  The truth is that KonK has consistently allowed us to test our design assumptions early by allowing our own developers to use Klocwork as part of their development.

One of the unexpected results was inadvertently uncovering data that further validated for us the importance of bugs found by a static analysis tool. We correlated testing-found issues and KonK (static analysis) issues assigned to each developer. The result as this graph shows (note: graph is using a logarithmic scale and is a few years old), is there was a very high relationship between the two. Those familiar with bugs found by static analysis tools know that they are often quite different in nature from a bug found by testing where you’re testing requirements, yet developers with a high count of testing-found issues also had a high KonK count. In some cases they pointed to the same problem, in others an indication of the overall bad to the bone problems in some of the new components.


Since we already eat our own dogfood, we’re already believers in the use of static analysis, but this kind of data is a great example of the benefit of finding issues early using static analysis

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