Visual Depiction of Decision Statements: What is Best forProgrammers and Non-Programmers?

Authors:
James D. Kiper;Brent Auernheimer;Charles K. Ames
Affiliations:
Department of Systems Analysis, Miami University, Oxford, OH 45056;Department of Computer Science, California State University, Fresno, CA 93740;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109
Venue:
Empirical Software Engineering
Year:
1997

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Abstract

This paper reports the results of two experiments investigatingdifferences in comprehensibility of textual and graphical notationsfor representing decision statements. The first experiment wasa replication of a prior experiment that found textual notationsto be better than particular graphical notations. After replicatingthis study, two other hypotheses were investigated in a secondexperiment. Our first claim is that graphics may be better fortechnical, non-programmers than they are for programmers becauseof the great amount of experience that programmers have withtextual notations in programming languages. The second is thatmodifications to graphical forms may improve their usefulness.The results support both of these hypotheses.