Designing, Conducting, and Analyzing Empirical Studies Electronic Communications of the EASST Volume 13 (2008) Proceedings of the Second International Workshop on Layout of (Software) Engineering Diagrams (LED 2008) Designing, Conducting, and Analyzing Empirical Studies Eileen Kraemer 1 pages Guest Editors: Andrew Fish, Harald Stòˆrrle Managing Editors: Tiziana Margaria, Julia Padberg, Gabriele Taentzer ECEASST Home Page: http://www.easst.org/eceasst/ ISSN 1863-2122 http://www.easst.org/eceasst/ ECEASST Designing, Conducting, and Analyzing Empirical Studies Eileen Kraemer Department of Computer Science University of Georgia 415 GSRC Athens, Ga. 30602-7404 eileen@cs.uga.edu Abstract: LED08 is concerned with the role of diagrams in communication be- tween engineers. Evaluation is at the heart of an engineering approach to designing and/or selecting diagrams that are well-suited to a particular task. In this talk I will survey several methods for conducting empirical studies of such diagrams, discuss approaches to analysis, review several studies that we have conducted, and summa- rize the lessons learned in the process. Keywords: Empirical studies, Diagrams Biography: Eileen Kraemer is a Professor and Head in the Computer Science De- partment at the University of Georgia. Prior to joining the faculty at UGA, she served on the faculty at Washington University in St. Louis in the Computer Sci- ence Department of the School of Engineering and Applied Science. She received her Ph.D. in Computer Science in September of 1995 from the College of Computing at the Georgia Institute of Technology in Atlanta, where she studied with Professor John Stasko in the Graphics, Visualization, and Usability Center. She received an MS in Computer Science in 1986 from Polytechnic University in Brooklyn, NY and a BS in Biology in 1980 from Hofstra University in Hempstead, NY. Her current research interests include visualization and usability for computer sci- ence education, comprehension of concurrent systems, and visualization and inter- action in support of computational biology. 1 / 1 Volume 13 (2008) mailto:eileen@cs.uga.edu