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Her research interests focus on broad areas of software engineering, and particularly software fault prediction, software testing and software metrics and measurement, and is known for doing large industrial empirical studies to validate many of her proposed research solutions. In an earlier life, Elaine did research in Theory of Computation and is the co-author of a book “Computability, Complexity, and Languages” with Martin Davis and Ron Sigal.
Elaine was elected to the US National Academy of Engineering in 2002, was made an ACM Fellow in 2000, and an IEEE Fellow in 2003. She is the recipient of the 2007 ACM/SIGSOFT Outstanding Research Award for deep and lasting contributions and impact to software engineering as a discipline and received IEEE’s Harlan D. Mills Award for long-standing, sustained, and meaningful contributions to the theory and practice of the information sciences in 2004. She won the Binghamton University Outstanding Alumni Award in 2018, and the Rutgers University 50th Anniversary Outstanding Alumni Award in 2003. She won the Anita Borg Institute’s Technical Leadership Award for outstanding research and technical leadership in 2008 and the ACM President’s Award in 2010.
Elaine was elected to the US National Academy of Engineering in 2002, was made an ACM Fellow in 2000, and an IEEE Fellow in 2003. She is the recipient of the 2007 ACM/SIGSOFT Outstanding Research Award for deep and lasting contributions and impact to software engineering as a discipline and received IEEE’s Harlan D. Mills Award for long-standing, sustained, and meaningful contributions to the theory and practice of the information sciences in 2004. She won the Binghamton University Outstanding Alumni Award in 2018, and the Rutgers University 50th Anniversary Outstanding Alumni Award in 2003. She won the Anita Borg Institute’s Technical Leadership Award for outstanding research and technical leadership in 2008 and the ACM President’s Award in 2010.
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mag(2012)
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Empirical Software Engineering and Measurementpp.1-9, (2011)
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