St.
Louis Ballroom E [Floor
Plan]
Session Chair: Kevin Sullivan
Overview: The build-out of
software-intensive systems that started about fifty years ago has transformed
the world’s
economies, institutions, and cultures. Rapid growth and change will
surely continue. The frantic pace of discovery and innovation to date
has, in some ways, hindered reflection on what we’ve enabled,
what kind of software-intensive society we wish to promote for our
descendants, and what new knowledge and perspectives we will need in
order to design systems in ways to foster the creation and preservation
of a healthy, prosperous, open society.
This year’s panel features leading scholars of software-intensive
system design—broadly construed—who will present perspectives
on prospects, problems and priorities for a science of design focused
on software-intensive systems. Issues include the goals of such a science;
the phenomena that are its subject; the form and testing of its theories;
major open problems; the relationship of such a science to current
research in the field; short- and longer-term challenges in developing
and teaching an effective theory and practice of design; and intellectual
and societal benefits expected to emerge from research in this area.
|
| > |
Kevin
Sullivan (Moderator)
University of Virginia, USA
Bio: Kevin Sullivan
is associate professor and VEF Faculty Fellow in Computer Science
at the University of Virginia. He received
his Ph.D. in Computer Science and Engineering in 1994 from the
University of Washington. His interests are in the structures,
properties, and value of design, with a particular emphasis on
issues of modularity and integration in design and dependability
as a user-perceived property.
|
| > |
Michael
Jackson
The Open University, UK
Bio: Michael Jackson
has worked in software development since 1961. He developed the JSP
program design method, chosen as the
standard
for UK Government software development, and he played the leading
role in developing the JSD method of system analysis, specification
and design. Since 1990 he has worked as an independent consultant.
From 1990 to 2002, in conjunction with Dr Pamela Zave, he also
worked as a part-time researcher at AT&T Bell Laboratories
(now AT&T Research Laboratories) in New Jersey, USA. This
work focused on the feature interaction problem, and on principles
and techniques for specifying telecommunications and services,
and resulted in the DFC (Distributed Feature Composition) virtual
architecture for telecommunications services. His most recent
work has focused on the analysis and structure of software development
problems, using an approach based on the idea of problem frames.
Problem frames can be regarded as patterns, in the problem space
rather than in the solution space, with a major emphasis on the
composition of identified sub-problems.
|
| > |
Carliss
Baldwin
Harvard Business School, USA
Bio: Carliss Y. Baldwin
is the William L. White Professor of Business Administration at the
Harvard Business School. A specialist in
corporate finance and real options theory, Baldwin received a
bachelor's degree in economics from MIT in 1972, and MBA and
DBA degrees from Harvard Business School in 1974 and 1977 respectively.
She is active in Harvard's Ph.D. program in Information, Technology
and Management, jointly sponsored by the Business School and
the Division of Engineering and Applied Science. With Kim B.
Clark, she is involved in a multi-year project to study the process
of design and its impact on the structure of the computer industry.
She and Clark have authored Design Rules: The Power of Modularity,
the first of a projected two volumes on this topic. Volume 2,
in progress, will focus on The Institutions of Innovation.
|
| > |
Mary
Shaw
Carnegie Mellon University, USA
Bio: 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. |
|
