|
Items in cart [1] |
Questions? Call 888-624-8373 |
| ||||||||||||
| Copyright © 2009. National Academy of Sciences. All rights reserved. Terms of Use and Privacy Statement |
Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter.
Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 70
APPENDIX
CBiographical Sketches
DARYL PREGIBON (Chair) is division manager of the Statistics Research
Department at AT&T Labs. His department is responsible for developing
a theoretical and computational foundation for statistical analysis of very
large data sets. He has nurtured successful interactions throughout AT&T,
in fiber and microelectronics manufacturing, network reliability, customer
satisfaction, fraud detection, targeted marketing, and regulatory statistics.
His research contributions have changed from mathematical statistics to
computational statistics, and included such topics as expert systems for
data analysis, data visualization, application-specific data structures for
statistics, and large-scale data analysis. He is a world leader in data mining,
which he defines as an interdisciplinary field combining statistics, artificial
intelligence, and database research. He received his Ph.D. in statistics at
the University of Toronto (19791. He is a fellow ofthe American Statistical
Association, former head of the Committee on Applied and Theoretical
Statistics (1996-1998), and a member of the Committee on National
Statistics (2000-present).
BARRY BOEHM is TRW professor of software engineering, in the
Computer Science Department of the University of Southern California
(USC), and director, USC Center for Software Engineering. He received
his B.A. degree from Harvard in 1957, and his M.S. and Ph.D. degrees
from UCLA in 1961 and 1964, all in mathematics. Between 1989 and
1992, he served within the U.S. Department of Defense as Director of the
70
OCR for page 71
BIOGRAPHICAL SKETCHES
71
Defense Advanced Research Projects Agency Information Science and
Technology Office, and as Director of the DDR&E Software and
Computing Technology Office. He worked at TRW from 1973 to 1989,
culminating as chief scientist of the Defense Systems Group, and at the
RAND Corporation from 1959 to 1973, culminating as head of the
Information Sciences Department. He was a programmer-analyst at
General Dynamics between 1955 and 1959. His current research interests
include software process modeling, software requirements engineering,
software architectures, software metrics and cost models, software
engineering environments, and knowledge-based software engineering. His
contributions to the field include the Constructive Cost Model
(COCOMO), the Spiral Model of the software process, the Theory W
(win-win) approach to software management and requirements
determination, and two advanced software engineering environments: the
TRW Software Productivity System and Quantum Leap Environment. He
has served on the board of several scientific journals, including the IEEE
Transactions on Soffware Engineering, IEEE Computer, IEEE Soffware, ACM
Computing Reviews, Automated Soffware Engineering, Soffware Process, and
Information and Soffware Technology. He has served as chair of the AIAA
Technical Committee on Computer Systems, chair of the IEEE Technical
Committee on Software Engineering, and as a member of the Governing
Board of the IEEE Computer Society. He currently serves as chair of the
Air Force Scientific Advisory Board's Information Technology Panel, and
chair of the Board of Visitors for the CMU Software Engineering Institute.
He is an AIAA Fellow, an ACM Fellow, an IEEE Fellow, and a member of
the National Academy of Engineering.
MICHAEL L. COHEN is a senior program officer for the Committee on
National Statistics. Previously, he was a mathematical statistician at the
Energy Information Administration, an assistant professor in the School of
Public Affairs at the University of Maryland, a research associate at the
Committee on National Statistics, and a visiting lecturer at the Department
of Statistics, Princeton University. His general area of research is the use of
statistics in public policy, with particular interest in census undercount,
model validation, and defense testing. He is also interested in robust
estimation. He has a B.S. degree in mathematics from the University of
Michigan and M.S. and Ph.D. degrees in statistics from Stanford University.
OCR for page 72
72
APPENDIX C
SIDDHARTHA R. DALAL is vice president in the Xerox Innovation
Group at the Xerox Corporation in Webster, NY. He previously created
and managed a multidisciplinary research division concentrating on
amalgamation of Information Services (e-commerce, multimedia, mobility,
telephony, software engineering, etc.) and Information Analysis (data
mining/statistics, knowledge management) at Telcordia Technologies. He
initiated and led research that resulted in commercial products for
Telcordia's Software Systems, consulting ware for Professional Services, and
initiated new research areas in software engineering, data mining, and
marketing areas. He started and promoted research programs that reduced
costs and created new lines of business. Examples include Year 2000
Testing, Software Process, first ASP service at Telcordia (AETGWeb),
Software Testing (When to Stop Testing, Test Case Generation), Risk
Analysis, and Data Mining. Recent projects include research on e-
commerce in the telecom marketplace, testing (test automation, GUI, and
Web testing), rule-based systems and agents, assessment methodologies for
software processes (like CMM and SPICE), defect analysis, and a prediction
tool for market penetration of new products. He received the Telcordia
CEO award (1999), he is an elected member ofthe International Statistical
Institute, a Fellow of the American Statistical Association, a member of the
Committee on Applied and Theoretical Statistics (CATS). He received his
MBA and his Ph.D. in statistics from the University of Rochester.
WILLIAM F. EDDY is a professor in the Department of Statistics.
Carnegie Mellon University. His research interests include data mining,
dynamic data visualization, and generally computational and graphical
statistics. He is a fellow of the American Association for the Advancement
of Science, fellow of the American Statistical Association, founding editor
of the Journal of Computational and Graphical Statistics, fellow of the
Institute of Mathematical Statistics, elected member of the International
Statistical Institute, and fellow of the Royal Statistical Society. He is
founding co-editor of Chance. He has served on the following panels and
committees of the National Research Council: Commission on Physical
Sciences, Mathematics, and Applications (CPSMA) Working Group
on Infrastructure Issues for Computational Science (1992-1993), CPSMA
Panel on Statistics and Oceanography (co-chair, 1992- 1993),
CPSMA Board on Mathematical Sciences (1990-1993), Committee on
Applied and Theoretical Statistics (CATS) Panel on Guidelines for
Statistical Software (chair, 1990-1991), CATS (1987-1993; chair 1990-
OCR for page 73
BIOGRAPHICAL SKETCHES
73
1993), CNSTAT Panel on Statistics on Natural Gas (1983-1985), and
CNSTAT (1994-2000~.
JESSE H. POORE holds the Ericsson/Harlan D. Mills Chair in Software
Engineering in the Department of Computer Science at the University of
Tennessee, and is Director of the University of Tennessee-Oak Ridge
National Labs Science Alliance, which is a program to promote and
stimulate joint research between the University of Tennessee and Oak Ridge
National Labs, and to manage joint programs and encourage inter-
disciplinary collaborations. He conducts research in cleanroom software
engineering and teaches software engineering courses. He has held
academic appointments at Florida State University and Georgia Tech; he
has served as a National Science Foundation rotator, worked in the
Executive Office of the President, and was executive director of the
Commitee on Science and Technology in the U.S. House of
Representatives. He is a member of ACM, IEEE, and a fellow of the
American Association for the Advancement of Science. He holds a Ph.D.
in information and computer science from Georgia Tech. He also served
on the Committee on National Statistics' Panel on Statistical Methods for
Testing and Evaluating Defense Systems (1994-1998~.
JOHN E. ROLPH is professor of statistics and former chair of the
Department of Information and Operations Management in the University
of Southern California's Marshall School of Business. He previously was
on the research staff of the RAND Corporation and has held faculty
positions at University College London, Columbia University, the RAND
Graduate School for Policy Studies, and the Health Policy Center of
RAND/University of California, Los Angeles. His research interests include
empirical Bayes methods and the application of statistics to the law and to
public policy. He has served as editor of the American Statistical Association
magazine Chance, and he currently is chair of the National Research
Council's Committee on National Statistics (CNSTAT). He also served as
chair on CNSTAT's Panel on Statitistical Methods for Testing and
Evaluating Defense Systems. He is a fellow of the American Statistical
Association, the Institute of Mathematical Statistics, the American
Association for the Advancement of Science, and is an elected member of
the International Statistical Institute. He received A.B. and Ph.D. degrees
in statistics from the University of California at Berkeley.
OCR for page 74
74
APPENDIX C
FRANCISCO I. S~NIEGO is professor of the Intercollege Division
of Statistics and Director of the Teaching and Resources Center at the
University of California at Davis. He has held visiting appointments in the
Department of Statistics at Florida State University and in the Department
of Biostatistics at the University of Washington. His research interests
include mathematical statistics, decision theory, reliability theory and
survival analysis, and statistical applications, primarily in the fields of
education, engineering, and public health. He is a fellow of the American
Statistical Association, the Institute of Mathematical Statistics, and the
Royal Statistical Society. He is an elected member of the International
Statistical Institute. He received a B.S. degree from Loyola University of
Los Angeles, an M.S. degree from Ohio State University, and a Ph.D. from
the University of California, Los Angeles, all in mathematics. He served as
a member of the CNSTAT Panel on Statistical Methods for Testing and
Evaluating Defense Systems (1994-1998), and as a member of CNSTAT
(1995-20011. He also chaired the first workshop in a series of workshops
on statistical methods relevant to the development of defense systems, of
which this workshop is the second.
ELAINE WEYUKER is a technology leader at AT&T Laboratories in
Florham Park, NJ, and was recently selected to be an AT&T Fellow. Before
moving to AT&T Labs in 1993, she was a professor of computer science at
the Courant Institute of Mathematical Sciences of New York University
where she had been on the faculty since 1977. Prior to that she was a
faculty member at the City University of New York, and was a systems
engineer at IBM and a programmer at Texaco, Inc. Her research interests
are in software engineering, particularly software testing and reliability, and
software metrics. She has published more than 100 refereed papers in
journals and conference proceedings in those areas, and has been a frequent
keynote speaker at software engineering conferences. Many of her recent
publications involve large case studies done with industrial projects assessing
the usefulness of proposed new testing strategies. She is also interested in
the theory of computation, and is the author of a book (with Martin Davis
and Ron Sigal), ComputaIDility, Complexity, and Languages, 2ndt Ed(. In
addition to being an AT&T Fellow, she is also a fellow of the ACM and a
senior member of the IEEE. She was recently elected to the Board of
Directors of the Computing Research Association, and is on the Technical
Advisory Board of Cigital Corporation. She is a member of the editorial
boards of ACM Transactions on Software Engineering and Methodology, the
OCR for page 75
BIOGRAPHICAL SKETCHES
75
Empirical Software Engineering Journal, and is an advisory editor of the
Journal of Systems and Software. She has been the Secretary/Treasurer of
ACM SIGSOFT and was an ACM National Lecturer. She received a Ph.D.
in computer science from Rutgers University, and an M.S.E. from the
Moore School of Electrical Engineering, University of Pennsylvania.
Representative terms from entire chapter:
statistical association
