Cost-Effective Quality Assurance For Long-Lived Software Using Automated Static Analysis

When large software is maintained for decades, code quality often gradually decays, increasing costs for future change requests. As counter measure, many development teams installed static analysis tools. Nevertheless, their code quality does not improve in the long term. We present a cost-effective approach to apply static analysis successfully as quality assurance technique. We evaluated the approach with several industrial case studies.

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