@inproceedings{DBLP:conf/bpm/MendlingRC07, author = {Jan Mendling and Hajo A. Reijers and Jorge Cardoso}, title = {What Makes Process Models Understandable?}, booktitle = {BPM}, year = {2007}, pages = {48-63}, ee = {http://dx.doi.org/10.1007/978-3-540-75183-0_4}, crossref = {DBLP:conf/bpm/2007}, bibsource = {DBLP, http://dblp.uni-trier.de} }
This page is meant for my students. It enumerates several points that I noticed I repeat for many of my students as I attempt to guide them down a path of research. These are mostly simple things, obvious in retrospect, but worth paying attention to.
PhD students are the primary targets of this advice, although much of it applies to MS students as well. I am of the view that research has not been conducted until it has been written up, hence the emphasis on papers in the first part of this document.
S. Bowers, B. Ludäscher, A. Ngu, and T. Critchlow. Proc. of the ICDE Workshop on Workflow and Data Flow for Scientific Applications (SciFlow), IEEE Computer Society, (2006)
T. McPhillips, S. Bowers, and B. Ludäscher. Proc. of the Intl. Workshop on Data Integration in the Life Sciences (DILS), volume 4075 of LNCS, page 248--263. (2006)
N. Podhorszki, B. Ludaescher, and S. Klasky. WORKS '07: Proceedings of the 2nd workshop on Workflows in support of large-scale science, page 35--44. New York, NY, USA, ACM, (2007)
S. Bowers, T. McPhillips, M. Wu, and B. Ludäscher. Proc. of the Intl. Workshop on Data Integration in the Life Sciences (DILS), volume 4544 of LNCS, page 122--138. (2007)