Title :
Consistent evolution of UML models by automatic detection of change traces
Author :
Dantas, Cristine R. ; Murta, Leonardo G P ; Werner, Claudia M L
Author_Institution :
COPPE, Fed. Univ. of Rio de Janeiro, Brazil
Abstract :
As software evolves, analysis and design models should be modified, correspondingly. In this scenario, one of the main problems is to detect which elements should be changed due to a given change. This paper presents an approach that applies data mining over a versioned UML repository in order to detect change patterns among model elements at different abstraction levels. These patterns are presented to the software engineer together with contextual information obtained from a change control system, so he can decide the software evolution task at hand.
Keywords :
Unified Modeling Language; data mining; object-oriented programming; software prototyping; UML repository model; change pattern detection; change traces automatic detection; contextual information; control system; data mining; software engineer; software evolution; Association rules; Carbon capture and storage; Control systems; Data mining; Marketing and sales; Object oriented modeling; Programming; Systems engineering and theory; Transaction databases; Unified modeling language;
Conference_Titel :
Principles of Software Evolution, Eighth International Workshop on
Print_ISBN :
0-7695-2349-8
DOI :
10.1109/IWPSE.2005.10
