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Semantic Software Lab
Concordia University
Montréal, Canada

A Quality Perspective of Software Evolvability Using Semantic Analysis

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Title{A Quality Perspective of Software Evolvability Using Semantic Analysis}
Publication TypeConference Paper
Year of Publication2009
AuthorsSchugerl, P., J. Rilling, R. Witte, and P. Charland
Refereed DesignationRefereed
Conference NameThird IEEE International Conference on Semantic Computing (ICSC 2009)
Date PublishedSeptember 14--16
PublisherIEEE Computer Society
Conference LocationBerkeley, CA, USA
ISBN Number978-0-7695-3800-6
KeywordsSemantic Software Engineering, Software Engineering, Software Evolution

Software development and maintenance are highly distributed processes that involve a multitude of supporting tools and resources. Knowledge relevant to these resources is typically dispersed over a wide range of artifacts, representation formats, and abstraction levels. In order to stay competitive, organizations are often required to assess and provide evidence that their software meets the expected requirements. In our research, we focus on assessing non-functional quality requirements, specifically evolvability, through semantic modeling of relevant software artifacts. We introduce our SE-Advisor that supports the integration of knowledge resources typically found in software ecosystems by providing a unified ontological representation. We further illustrate how our SE-Advisor takes advantage of this unified representation to support the analysis and assessment of different types of quality attributes related to the evolvability of software ecosystems.


Copyright © 2009 IEEE. It is posted here by permission of IEEE for your personal use. Not for redistribution. DOI: 10.1109/ICSC.2009.10

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