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A Graphical Workstation and Programming Environment for Data-Driven Computation
University of Utah, Department of Computer Science.ORCID iD: 0000-0002-6066-746X
1983 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

This dissertation reports on the development of a prototype programming environment for a graphical programming language to support a data-driven style of computation. Emphasis is on the need for tools to assist in the development of nontrivial graphical programs. Within the scope of programming languages there has been a lot of criticism that the current languages force an unnatural form for solutions, which is difficult to read, and even harder to verify, debug, maintain, and modify. One of the major "culprits" for all of these problems is felt to be side effects; thus there have been several proposals to create functional languages. One class of functional solutions which has received an increasing amount of interest is the area of data flow languages. In order to evaluate these alternate programming methodologies nontrivial programs need to be developed using such a methodology. This work grew out of an interest in providing a programming environment to support the development of very large programs in GPL and to find out what aspects of a programming environment would be substantially different for a graphical language which employs a data-driven computational model.

Place, publisher, year, edition, pages
Ann Arbor, MI, USA: University Microfilms International - Dissertations Publishing , 1983.
Keyword [en]
Computer science
National Category
Computer Science
Research subject
URN: urn:nbn:se:kth:diva-61786OAI: diva2:479643
Public defence
, University of Utah, Merrill Engineering Building, Salt Lake City, UT, USA
1983; 752498871; Maguire, Gerald Quentin, Jr; 8313153; 26551011; 303280688; Copyright UMI - Dissertations Publishing 1983; 66569; English; 128 p.; M1: Ph.D.; M3: 8313153. QC 20120120Available from: 2012-01-20 Created: 2012-01-18 Last updated: 2013-09-09Bibliographically approved

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