Title:
Automated Capture and Retrieval of Architectural Rationale

dc.contributor.author Richter, Heather Anne
dc.contributor.author Schuchhard, Pascal
dc.contributor.author Abowd, Gregory D.
dc.date.accessioned 2004-10-22T17:43:57Z
dc.date.available 2004-10-22T17:43:57Z
dc.date.issued 1998
dc.description.abstract The Software Architecture Analysis Method (SAAM) was developed at the Software Engineering Institute in the mid-90's and has been effective in helping industrial projects to uncover a shared understanding of the high- level organization of large software systems as well as to reveal how that structure is impacted by suggested changes to system requirements. In the MORALE project at Georgia Tech, we are further investigating the potential for a process such as SAAM to capture the architectural rationale of an evolving software project. One of the features of SAAM is that it is a people-oriented process. Yet this creates difficulties in keeping track of the very rich discussions on system organization and change. In this paper, we present the use of ubiquitous computing technology to augment the conventional SAAM process through automated capture, integration and access to the architectural discussions and artifacts produced by a SAAM session. en
dc.format.extent 102070 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/3485
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-98-37
dc.subject Architectural analysis en
dc.subject SAAM en
dc.subject Ubiquitous computing en
dc.subject Automated capture en
dc.title Automated Capture and Retrieval of Architectural Rationale en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Abowd, Gregory D.
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isAuthorOfPublication a9e4f620-85d6-4fb9-8851-8b0c3a0e66b4
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
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