Paper Info
Title
An Empirical Study on the Anticipation of the Result of Copying and Pasting among UML Editors.
Abstract
Copy and paste is a function that is very popular in software programming. In software modeling, when a person performs a copy and paste, she/he expects that the copy will be similar to the original. The similarity refers to a selection of what properties and references from the original element have to be copied. This problem seems difficult because this feature is not addressed in scientific literature, is rarely available in - de-facto standard - editors of UML class diagram or functions differently from one editor to another. In this article, we will show that a significant part of the solution depends on the metrics used. We propose three families of metrics that produce various copy and paste behaviors. We adopted an empirical approach to assess their ergonomic qualities. We asked 67 people to predict results of a series of copy-pasting experiments. We observed two populations, one influenced by the visual representation and the other by semantics.
Year
DOI
Venue
2014
10.1007/978-3-319-11743-0_3
Lecture Notes in Computer Science
Keywords
Field
DocType
Copy and paste,Diagram editor,Empirical study
Scientific literature,Programming language,Unified Modeling Language,Computer security,Computer science,Anticipation,Modeling language,Copying,Artificial intelligence,Empirical research,Semantics,Class diagram
Conference
Volume
ISSN
Citations 
8769
0302-9743
0
PageRank 
References 
Authors
0.34
13
3
Name
Order
Citations
PageRank
Daniel Liabeuf100.68
Xavier Le Pallec22411.39
José Rouillard371.95