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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
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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.
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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-
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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.
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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
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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.
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