When Good Models Meet Bad Data: Applying Quantitative Economic Models to Qualitative Engineering Judgments
Shawn A. Butler, Somesh Jha, Mary Shaw
Abstract
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Shawn A. Butler, Somesh Jha, Mary Shaw
Abstract
Open-access reader
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.
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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.
Key concepts: Computer science, Economic model, Economics, Econometrics, Management science, Microeconomics