Queen's University - Utility Bar

QSpace at Queen's University >
Theses, Dissertations & Graduate Projects >
Queen's Theses & Dissertations >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1974/7555

Title: Measuring Incrementally Developed Model Transformations Using Change Metrics
Authors: Paen, EYRAK

Files in This Item:

File Description SizeFormat
Paen_Eyrak_201209_MSC.pdf1.55 MBAdobe PDFView/Open
Keywords: Model-Based Software Engineering
Incremental Development
Model-Driven Engineering
Model Transformation
Change Metrics
Issue Date: 28-Sep-2012
Series/Report no.: Canadian theses
Abstract: Transformations play a central role in Model Based Software Engineering. Similar to the development of other types of software, a transformation's specification and implementation does not necessarily remain static over the course of a project's lifetime; the transformation may develop incrementally and evolve. The goal of this thesis is to propose metrics that can be used to characterize the evolution of model transformations. To perform an initial demonstration of the metrics, this thesis considers an incrementally defined model transformation task. The transformation is implemented using two model transformation languages, a textual language and a graphical language, and metrics are extracted from the historical artifacts. The thesis defines a set of change metrics based on an abstract syntax difference model. Language feature metrics are also defined for both transformation languages. A process for extracting model-based change metrics and language metrics from the abstract syntax of the transformation languages is introduced. The applicability of the metrics in characterizing changes is demonstrated using exploratory clustering analysis on a transformation task. We show how, for this transformation task using both languages, metrics derived from the difference model result in clusters that reflect characteristics of individual changes, in contrast to clusters obtained with language metrics.
Description: Thesis (Master, Computing) -- Queen's University, 2012-09-28 10:47:10.999
URI: http://hdl.handle.net/1974/7555
Appears in Collections:Computing Graduate Theses
Queen's Theses & Dissertations

Items in QSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

  DSpace Software Copyright © 2002-2008  The DSpace Foundation - TOP