Comparison of Domain Analysis Methods and their Supporting Quality Attributes

dc.contributor.authorJatain, Aman
dc.contributor.supervisorGoel, Shivani
dc.date.accessioned2009-07-17T11:55:22Z
dc.date.available2009-07-17T11:55:22Z
dc.date.issued2009-07-17T11:55:22Z
dc.descriptionME, CSEDen
dc.description.abstractDomain analysis has been suggested by many in the reuse research community as an important process for achieving successful reuse. Reuse of products, processes and all kinds of knowledge has been identified as a goal in software engineering, in order to develop reliable and high quality software systems on schedule and within budget. In software reuse there are producers and consumers of reusable artifacts, which might not be the same people. This duality of issues calls for methods as Domain Analysis to systematically build reusable elements. In this report a detailed description of domain analysis including domain analysis approaches, domain analysis models and domain analysis methods is given. After studying many domain analysis methods some criteria has been found based on which we compared domain analysis methods. Report discusses the domain analysis methods that share the same objectives: analyzing the domain and developing domain models. However each technique defines a particular way of understanding the domain and capturing domain information as domain models. In general the process, the product and supporting tools, can characterize a domain analysis method. In this thesis report comparison of methodologies is given with the help of a table, we summarized methods according to their use in various domains and then various quality attribute in different domain analysis methods are identified.en
dc.format.extent1065572 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10266/795
dc.language.isoenen
dc.subjectDomain Analysisen
dc.subjectFODAen
dc.subjectJODAen
dc.subjectODMen
dc.subjectDSSAen
dc.subjectDADPen
dc.subjectQuality attributesen
dc.titleComparison of Domain Analysis Methods and their Supporting Quality Attributesen
dc.typeThesisen

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