Title :
A software developer´s guide to informal evaluation of Visual Analytics environments using VAST Challenge information
Author :
Kristin A. Cook;Jean Scholtz;Mark A. Whiting
Author_Institution :
Pacific Northwest National Laboratory, USA
Abstract :
The VAST Challenge has been a popular venue for academic and industry participants for over ten years. Many participants comment that the majority of their time in preparing VAST Challenge entries is discovering elements in their software environments that need to be redesigned in order to solve the given task. Fortunately, there is no need to wait until the VAST Challenge is announced to test out software systems. The Visual Analytics Benchmark Repository contains all past VAST Challenge tasks, data, solutions and submissions. In this poster we describe how developers can perform informal evaluations of various aspects of their visual analytics environments using VAST Challenge information.
Keywords :
"Visual analytics","Data visualization","Software","Object recognition","Benchmark testing","Industries","Data processing"
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on
DOI :
10.1109/VAST.2015.7347674