File(s) stored somewhere else

Please note: Linked content is NOT stored on Carnegie Mellon University and we can't guarantee its availability, quality, security or accept any liability.

When Good Models Meet Bad Data: Applying Quantitative Economic Models to Qualitative Engineering Judgments

journal contribution
posted on 01.01.2000, 00:00 by Shawn Butler, Somesh Jha, Mary Shaw

We have been attempting to apply financial portfolio analysis techniques to the task of selecting an application-appropriate suite of security technologies from the technologies available in the marketplace. The problem structures are sufficiently similar that the intuitive guidance is encouraging. However, the analysis techniques of portfolio analysis assume precise quantitative data of a sort that we cannot realistically expect to obtain for the security applications. This will be a common challenge in applying quantitative economic models to software engineering problems, and we consider ways to address the mismatch.