By Topic

Obstacles and opportunities with using visual and domain-specific languages in scientific programming

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Michael Jones ; School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, USA ; Christopher Scaffidi

Scientific discovery is the lifeblood of technological progress, and end-user programming in turn is increasingly essential to modern science. In order to uncover opportunities to facilitate scientific programming, we interviewed scientists about their choice of tools and languages, as well as the obstacles resulting from those choices. We focused on domain-specific languages (DSLs), particularly visual DSLs, because prior empirical studies had not explored scientists' DSL use in detail. We found that DSLs were indeed used by most of these scientists, and in fact it was typical for scientific projects to use an increasing number of DSLs over time. Our study extended some findings from related work, and it identified obstacles not previously uncovered. In particular, we found that scientists often struggled with managing data complexity, as well as with using version control systems. Our study revealed several opportunities to improve DSLs and related tools, such as for helping scientists to cope with data complexity and for helping them to foresee problems when choosing a language.

Published in:

2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Date of Conference:

18-22 Sept. 2011