CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Detecting performance bad smells for henshin model transformations

Matthias Tichy ; Christian Krause ; Grischa Liebel (Institutionen för data- och informationsteknik, Software Engineering (Chalmers))
Proc. of the 2nd Workshop on the Analysis of Model Transformations (AMT), September 29, Miami, USA, 2013 (2013)
[Konferensbidrag, refereegranskat]

In model-driven software engineering, model transformations are used for the specification of model changes. Similar to programs also model transformations can exhibit bad smells which indicate possible weaknesses. In this paper, we address bad smells which can negatively affect the performance of the application of model transformations, particularly, model transformations defined in Henshin. Based on a description of the Henshin interpreter and its performance enhancing strategies, we describe a set of bad smells and corresponding detectors. We evaluate the detectors by applying them to the example rule set of Henshin.



Denna post skapades 2013-11-27.
CPL Pubid: 187560

 

Läs direkt!


Länk till annan sajt (kan kräva inloggning)


Institutioner (Chalmers)

Institutionen för data- och informationsteknik (GU) (GU)
Institutionen för data- och informationsteknik, Software Engineering (Chalmers)

Ämnesområden

Programvaruteknik

Chalmers infrastruktur