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

fYear

2005

fDate

5-6 Sept. 2005

Firstpage

144

Lastpage

147

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Principles of Software Evolution, Eighth International Workshop on

ISSN

1550-4077

Print_ISBN

0-7695-2349-8

Type

conf

DOI

10.1109/IWPSE.2005.10

Filename

1572320