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

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Shawn A. Butler, Somesh Jha, and Mary Shaw
Position paper for EDSER-2, IEEE Computer Society, 2000, unpaginated.

KeyWords:security technology selection problems,economic models in software engineering,qualitative models,quantitative models

Online Links:      PS       PDF

Abstract:

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.

Preferred citation: Shawn A. Butler, Somesh Jha, and Mary Shaw. When good models meet bad data: Applying quantitative economic models to qualitative engineering judgments, Proceedings of the Second Workshop on Economics Driven Software Engineering Research, IEEE Computer Society, 2000, unpaginated.
Entry last Updated 2006-09-05

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You are visiting Mary Shaw's Bibliographic pages (Copyright 2002, 2005,2007 by Roy Weil and others. All rights reserved ) It contains the database of papers published by her and others at Carnegie Mellon Computer Science Department. The software used to index and search these papers is Marian - the on-line-braian, available at Marian's Home site. Comments and suggesions are welcome