David S. Kosbie
Carnegie Mellon University
20 Papers
365 Citations
David S. Kosbie is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: User interface & User interface design. The author has an hindex of 9, co-authored 17 publications. Previous affiliations of David S. Kosbie include Microsoft.
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Papers
•Journal Article
Garnet: comprehensive support for graphical, highly interactive user interfaces
Brad A. Myers,Dario A. Giuse,Roger B. Dannenberg,Brad Vander Zanden,David S. Kosbie,Edward Pervin,Andrew Mickish,Philippe Marchal +7 more
TL;DR: The Garnet research project, which is creating a set of tools to aid the design and implementation of highly interactive, graphical, direct-manipulation user interfaces, is discussed.
306
Patent
Automated schema and interface generation
Andrew L. Nicholson,Mike Glass,David S. Kosbie,Thomas A. Vaughan +3 more
- 30 Mar 2000
TL;DR: In this article, a schema definition file is parsed into an internal representation comprising collection classes, and a SQL generator traverses the collection classes and generates SQL statements that define tables, views and stored procedures.
239
Marquise: creating complete user interfaces by demonstration
Brad A. Myers,Richard G. McDaniel,David S. Kosbie +2 more
- 01 May 1993
TL;DR: The interactive tool uses the framework to allow the designer to demonstrate most of the end user's actions without programming, which means that Marquise can be used by non-programmers.
132
Lessons learned about one-way, dataflow constraints in the Garnet and Amulet graphical toolkits
Bradley T. Vander Zanden,Richard Halterman,Brad A. Myers,Rich McDaniel,Robert C. Miller,Pedro Szekely,Dario A. Giuse,David S. Kosbie +7 more
TL;DR: The most important lessons are that mark-sweep algorithms are more efficient than topological ordering algorithms; lazy and eager evaluators deliver roughly comparable performance for most applications; and constraint satisfaction algorithms have more than adequate speed, except that the storage required by these algorithms can be problematic.
Patent
Method and system for unifying search strategy and sharing search output data across multiple program modules
Bruce A. Morgan,Maria Blees,David S. Kosbie +2 more
- 08 May 2000
TL;DR: In this article, a search strategy across multiple programs is unified while sharing of search output data across different programs is facilitated, which makes information across multiple separate programs more readily accessible and can eliminate the learning of multiple search techniques that are dependent upon a unique search engines of respective programs.
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