Scholarly Commons at Miami University Scholarly Commons @ MU
    • Login
    • Scholarly Commons FAQs
    • SHERPA/RoMEO
    • SPARC Author Addendum Engine
    View Item 
    •   SC Home
    • Faculty Research and Scholarship
    • College of Engineering and Computing
    • Computer Science and Software Engineering
    • Computer Science and Software Engineering Technical Reports
    • View Item
    •   SC Home
    • Faculty Research and Scholarship
    • College of Engineering and Computing
    • Computer Science and Software Engineering
    • Computer Science and Software Engineering Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Visual Depiction of Decision Statements: What is Best for Programmers and Non-programmers

    Thumbnail
    View/Open
    fulltext.pdf (838.1Kb)
    Date
    1997-03-01
    Author
    Kiper, James
    Auerheimer, Brent
    Ames, Charles
    Metadata
    Show full item record
    Abstract
    This paper reports the results of two experiments investigating differences in comprehensibility of textual and graphical notations for representing decision statements. The first experiment was a replication of a prior experiment that found textual notations to be better than particular graphical notations. After replicating this study, two other hypotheses were investigated in a second experiment. Our first claim is that graphics may be better for technical, non-programmers than they are for programmers because of the great amount of experience that programmers have with textual notations in programming languages. The second is that modifications to graphical forms may improve their usefulness. The results support both of these hypotheses. Keywords: visual programming, decision structures, program comprehension, expert-novice differences
    URI

    http://hdl.handle.net/2374.MIA/219
    Collections
    • Computer Science and Software Engineering Technical Reports

    Browse

    All of Scholarly CommonsCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    Statistics

    View Usage Statistics

    - Miami University Libraries
    - Center for Digital Scholarship
    - Contact Us
    DSpace software
    Mirage 2 Theme
    htmlmap