On Defining Reproducible Outcomes for the Computer Security Community

Reproducibility is crucial to the advancement of science; it strengthens confidence in seemingly contradictory results and expands the boundaries of known discoveries. Computer Security has the natural benefit of creating artifacts that should facilitate computational reproducibility, the ability for others to use someone else's code and data to independently recreate results, in a relatively straightforward fashion. While the Security community has recently increased its attention on reproducibility, whether the current approach to increasing reproducible research is effective remains an open question. In this dissertation, we measure the impact of current approaches to reproducible research, construct frameworks and tools to increase reproducible outcomes, and analyze the approach we have taken. The goal of this dissertation is to provide tools for security researchers that simplify and increase the reproducibility of research.