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@InProceedings{Dwivedi:EUC:2017,
      AUTHOR = {Dwivedi, Vishal and Herbsleb, James and Garlan, David},
      TITLE = {What Ails End-User Composition: A Cross-Domain Qualitative Study},
      YEAR = {2017},
      BOOKTITLE = {End-User Development. IS-EUD 2017},
      VOLUME = {10303},
      SERIES = {Lecture Notes in Computer Science},
      PUBLISHER = {Springer},
      PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/Dwivedi2017_Chapter_WhatAilsEnd-UserCompositionACr.pdf},
      ABSTRACT = {Across many domains, end-users need to compose computational elements into novel configurations to perform their day-to-day tasks. End-user composition is a common programming activity performed by such end-users to accomplish this composition task. While there have been many studies on end-user programming, we still need a better understanding of activities involved in end-user composition and environments to support them. In this paper we report a qualitative study of four popular composition environments belonging to diverse application domains, including: Taverna workflow environment for life sciences, Loni Pipeline for brain imaging, SimMan3G for medical simulations and Kepler for scientific simulations. We interview end-users of these environments to explore their experiences while performing common compositions tasks. We use “Content Analysis” technique to analyze these interviews to explore what are the barriers to end-user composition in these domains. Furthermore, our findings show that there are some unique differences in the requirements of naive end-users vs. expert programmers. We believe that not only are these findings useful to improve the quality of end-user composition environments, but they can also help towards development of better end-user composition frameworks.},
      KEYWORDS = {End-user Architecture}
}