Predicting Value from Design
Dr. Mary Shaw
Carnegie Mellon University
Talk:
Talk:
Location: Room 222
Erickson Hall.
Host: B. Cheng
Abstract: Early design
decisions in software projects profoundly affect both the properties and the
costs of the eventual implementation. It is much easier and cheaper to change
these decisions during design than after implementation has yielded running
code. Improvements in our ability to predict properties of an implementation
without actually inspecting the code would enable software designers to better
understand the consequences of early decisions and would facilitate comparison
of design alternatives to a degree not currently possible. This talk will discuss some code-free
predictive evaluation techniques and the challenges of harnessing them to
provide a unified framework for reasoning about the overall value that should
arise from a design.
Biography: Dr. Mary Shaw is the Alan J. Perlis Professor of Computer Science and Co-Director of the
Sloan Software Industry Center at Carnegie Mellon University. She has been a
member of this faculty since completing the Ph.D. degree at Carnegie-Mellon in
1972. Her research interests in computer
science lie primarily in the areas of software engineering, particularly
value-driven software design, appropriate dependability, and software
architecture.