DocumentCode :
1986372
Title :
SE-EQUAM - An Evolvable Quality Metamodel
Author :
Hmood, Aseel ; Keivanloo, Iman ; Rilling, Juergen
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Concordia Univ., Montreal, QC, Canada
fYear :
2012
fDate :
16-20 July 2012
Firstpage :
334
Lastpage :
339
Abstract :
Quality has become a key assessment factor for organizations to determine if their software ecosystems are capable to meet constantly changing environmental factors and requirements. Many quality models exist to assess the evolvability or maintainability of software systems. Common to these models is that they, contrary to the software ecosystems they are assessing, are not evolvable or reusable. In this research, we introduce SE-EQUAM a novel ontology-based quality assessment metamodel that was designed from ground up to support model reuse and evolvability. SE-EQUAM takes advantage of Semantic Web technologies such as support for the open world assumption, incremental knowledge population, and knowledge inference. We present a case study that illustrates the reusability and evolvability of our SE-EQUAM approach.
Keywords :
inference mechanisms; ontologies (artificial intelligence); semantic Web; software maintenance; software quality; SE-EQUAM; environmental factors; environmental requirements; evolvable quality metamodel; incremental knowledge population; knowledge inference; novel ontology-based quality assessment metamodel; semantic Web technologies; software ecosystems; software evolvability; software maintainability; software systems; Conferences; Decision support systems; Handheld computers; Helium; Software; evolution; maintenance; ontologies; quality model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference Workshops (COMPSACW), 2012 IEEE 36th Annual
Conference_Location :
Izmir
Print_ISBN :
978-1-4673-2714-5
Electronic_ISBN :
978-0-7695-4758-9
Type :
conf
DOI :
10.1109/COMPSACW.2012.67
Filename :
6341597
Link To Document :
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