Performing source code static analysis during the software development cycle may be a difficult task: there are different static analyzers available and each of them usually performs better in a small set of problems, making it hard to choose one tool. Combining the analysis of different tools solves this problem but, then, other problems arise, namely the generated false positives and the fact that some alarms are more relevant than others. kiskadee is a system to support static analysis usage during software development by providing ranked static analysis reports. First, it runs multiple security-oriented static analyzers on the source code. Then, using a classification model, the possible bugs detected by the static analyzers are ranked based on their importance, where critical flaws are ranked first and potential false positives are ranked last.