November 11, 2005: Seminar: Elaine Weyuker, AT&T Fellow ''I KNOW WHERE YOU'RE HIDING''

Distinguished Lecturer Seminar Announcement

Title: ?I KNOW WHERE YOU'RE HIDING?
Speaker: Elaine Weyuker, AT&T Fellow

Time: 11:00am
Date: Friday, November 11, 2005
Room: 1000SEO



Abstract:
It would obviously be very valuable to know in advance which files in the next release of a large software system are most likely to contain the largest numbers of faults. To accomplish this, we developed a negative binomial regression model and used it to predict the expected number of faults in each file of the next release of a system. The predictions are based on code characteristics and fault and modification history data. We have applied the model to three large industrial systems, each with multiple years of field exposure.

I will discuss our success in making accurate predictions and some of the lessons learned and issues that had to be dealt with.

Bio:
Elaine Weyuker received a Ph.D. in Computer Science from Rutgers University, and an M.S.E. from the University of Pennsylvania. She is currently an AT&T Fellow, performing research in software testing and metrics and has published more than 130 papers in journals and refereed conference proceedings. She is also interested in the theory of computation, and is the author of two editions of a book (with Martin Davis and Ron Sigal), "Computability, Complexity, and Languages", published by Academic Press. Prior to moving to AT&T Labs, she was on the faculty of the Courant Institute of Mathematical Sciences of New York University, was a faculty member at the City University of New York, a Systems' Engineer at I.B.M. and a programmer at Texaco, Inc.

Dr. Weyuker was elected to the National Academy of Engineering, is an ACM Fellow, an IEEE Fellow, and an AT&T Fellow. She was the 2004 recipient of the IEEE Harlan D. Mills award, a recipient of the YWCA Woman of Achievement Award, and was named the Outstanding Alumni at the Rutgers University 50th Anniversary celebration. She was also the recipient of the AT&T Chairman's award for her mentoring activities and efforts to foster diversity.

She is the co-chair of the ACM-W committee, a member of the steering committee of the Coalition to Diversify Computing, a member of the Rutgers University Graduate School Advisory Board and was a member of the Board of Directors of the Computing Research Association (CRA). She is a member of the editorial boards of IEEE Transactions on Software Engineering, IEEE Transactions on Dependable and Secure Computing, IEEE Spectrum, the Empirical Software Engineering Journal and the Journal of Systems and Software, and was a founding editor of the ACM Transactions of Software Engineering and Methodology. She was the Secretary/Treasurer of ACM SIGSOFT and was an ACM National Lecturer.



Host: Professor Jeff Tsai













































 
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