Title :
Visual programming: limits of graphic representation
Author :
Nickerson, Jeffrey V.
Author_Institution :
New York Univ., NY, USA
Abstract :
The effectiveness of graphic representations of computer programs is analyzed. Existing software metrics are modified for use in analyzing diagrams, and two new metrics are proposed: graphic token count and diagram class complexity. A graphic design measure, data density, is transformed into a computer science measure, token density. Using these metrics, graphic representations can be compared to each other and to textual representations. Conclusions are drawn about the relative strengths of graphic and textual representation
Keywords :
computational complexity; software metrics; visual languages; visual programming; computer science measure; data density; diagram class complexity; graphic design measure; graphic representation; graphic token count; software metrics; token density; visual programming; Computer graphics; Computer languages; Computer science; Couplings; Density measurement; Elbow; Program processors; Shape; Software metrics; Tree graphs;
Conference_Titel :
Visual Languages, 1994. Proceedings., IEEE Symposium on
Conference_Location :
St. Louis, MO
Print_ISBN :
0-8186-6660-9
DOI :
10.1109/VL.1994.363624