Building quality into learning management systems - An architecture-centric approach

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dc.contributor.author Avgeriou, P en
dc.contributor.author Retalis, S en
dc.contributor.author Skordalakis, M en
dc.date.accessioned 2014-03-01T01:18:45Z
dc.date.available 2014-03-01T01:18:45Z
dc.date.issued 2003 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri http://hdl.handle.net/123456789/15173
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0242339674&partnerID=40&md5=2a71a5d923f864e538d910e0a715d040 en
dc.subject Architectural evaluation en
dc.subject Learning Management System en
dc.subject Nonfunctional requirements en
dc.subject Quality attributes en
dc.subject Quality requirements en
dc.subject Software architecture en
dc.subject Unified Modeling Language en
dc.subject Unified Process en
dc.subject.classification Computer Science, Theory & Methods en
dc.title Building quality into learning management systems - An architecture-centric approach en
heal.type journalArticle en
heal.language English en
heal.publicationDate 2003 en
heal.abstract The design and development of contemporary Learning Management Systems (LMS), is largely focused on satisfying functional requirements, rather than quality requirements, thus resulting in inefficient systems of poor software and business quality. In order to remedy this problem there is a research trend into specifying and evaluating software architectures for LMS, since quality attributes in a system depend profoundly on its architecture. This paper presents a case study of appraising the software architecture of a Learning Management through experience-based assessment and the use of an architectural prototype. The framework of the evaluation conducted, concerns run-time, development and business qualities. The paper concludes with the lessons learned from the evaluation, emphasizing on the compromise between them. © Springer-Verlag Berlin Heidelberg 2003. en
heal.publisher SPRINGER-VERLAG BERLIN en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.isi ISI:000187955400028 en
dc.identifier.volume 2784 en
dc.identifier.spage 312 en
dc.identifier.epage 324 en

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