• DocumentCode
    2029786
  • Title

    Spoken programs

  • Author

    Begel, Andrew ; Graham, Susan L.

  • Author_Institution
    Comput. Sci. Div., California Univ., Berkeley, CA, USA
  • fYear
    2005
  • fDate
    20-24 Sept. 2005
  • Firstpage
    99
  • Lastpage
    106
  • Abstract
    Programmers who suffer from repetitive stress injuries find it difficult to spend long amounts of time typing code. Speech interfaces can help developers reduce their dependence on typing. However, existing programming by voice techniques make it awkward for programmers to enter and edit program text. To design a better alternative, we conducted a study to learn how software developers naturally verbalize programs. We found that spoken programs are different from written programs in ways similar to the differences between spoken and written English; spoken programs contain lexical, syntactic and semantic ambiguities that do not appear in written programs. Using the results from this study, we designed Spoken Java, a semantically identical variant of Java that is easier to say out loud. Using Spoken Java, software developers can speak more naturally by verbalizing their program code as if they were reading it out loud. Spoken Java is analyzed by extending a conventional Java programming language analysis engine written in our Harmonia program analysis framework to support the kinds of ambiguities that arise from speech.
  • Keywords
    Java; computer aided software engineering; speech-based user interfaces; English language; Harmonia program analysis; Java programming language; Spoken Java; lexical ambiguity; program code verbalization; programming by voice; semantic ambiguity; software development; speech interfaces; spoken programs; syntactic ambiguity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Languages and Human-Centric Computing, 2005 IEEE Symposium on
  • Print_ISBN
    0-7695-2443-5
  • Type

    conf

  • DOI
    10.1109/VLHCC.2005.58
  • Filename
    1509493