It is widely accepted that software contains bugs. Estimations range from between an average of five-to-50 coding errors per one thousand lines of code.

When you consider that a modern high-end car contains upward of 100 million lines of code, that's a lot of potential software problems. And that number only increases as systems continue to grow larger and more complex.

Of course, not all of these coding issues will be relevant and some may never have any impact at all on the reliability or security of the system concerned.

Yet it only takes one coding issue to result in something significant for there to be potentially costly consequences. Unfortunately, testing and manual code reviews cannot find every single defect, error, and compliance issue. So those vulnerabilities remain.

Thankfully there is an easy, effective, and cost-efficient solution to finding critical problems in your code, and help ensure that you are able to release a quality product on time — static analysis.

Static analysis automates the identification of defects, errors, and compliance issues, as you code.

In this webinar, we discuss:

  • What causes defects to enter the code stream.
  • What errors are easily missed by manual code reviews.
  • Why static analysis assists in creating deeper, more efficient, and more uniform code reviews.
  • How safe, secure, and reliable software can be achieved at lower costs.

See the difference that Perforce static analyzers — Helix QAC and Klocwork — can have on the quality of your code.

                Demo Helix QAC                   Demo Klocwork