Back to results

National University of Ireland Maynooth

A Model Driven Approach for Refactoring Heterogeneous Software Artefacts

Abstract

dc:description.abstract

Refactoring is the process of transforming a software system to improve its overall structure while preserving its observable behaviour. Refactoring engines are normally used to perform these transformations for efficiency and in order to avoid introducing behavioural changes into the program due to human error. Although these engines do not verify that behaviour is preserved, it is widely accepted that automated transformations are less likely to introduce errors in comparison to manual refactoring. Despite the advantages provided by refactoring engines they fall foul of certain weaknesses. Here we hypothesise that Model Driven Engineering can be used to produce improved refactoring engines that are less vulnerable to those weaknesses. We develop a Domain Specific Transformation Language for defining new composite refactorings from a set of built–in primitives and to script their application. We also develop an interpreter for the language, effectively providing an operational semantics, in the guise of an extensible transformation framework. We evaluate our approach with a case study examining the correlation between actual and predicted measurements of the Coupling Between Objects metric for classes that undergo the extract class refactoring. The results show that our approach is promising.

Degree

thesis:*
Level dc:type.qualificationlevel
masters
Grantor dc:publisher.institution
National University of Ireland Maynooth
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dooley, Keith

Rights

Language dc:language
en

Chain of custody

source
Harvested from
National University of Ireland - Maynooth
Base URL
mural.maynoothuniversity.ie/cgi/oai2
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Dooley, Keith. A Model Driven Approach for Refactoring Heterogeneous Software Artefacts. masters thesis, National University of Ireland Maynooth, 2016.