Publication:
An infrastructure for indexing and organizing best practices

dc.contributor.author Zhu, Liming en_US
dc.contributor.author Staples, Mark en_US
dc.contributor.author Gorton, Ian en_US
dc.date.accessioned 2021-11-25T12:55:01Z
dc.date.available 2021-11-25T12:55:01Z
dc.date.issued 2007 en_US
dc.description.abstract Industry best practices are widely held but not necessarily empirically verified software engineering beliefs. Best practices can be documented in distributed web-based public repositories as pattern catalogues or practice libraries. There is a need to systematically index and organize these practices to enable their better practical use and scientific evaluation. In this paper, we propose a semi-automatic approach to index and organise best practices. A central repository acts as an information overlay on top of other pre-existing resources to facilitate organization, navigation, annotation and meta-analysis while maintaining synchronization with those resources. An initial population of the central repository is automated using Yahoo! contextual search services. The collected data is organized using semantic web technologies so that the data can be more easily shared and used for innovative analyses. A prototype has demonstrated the capability of the approach. en_US
dc.identifier.isbn 0769529623 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/38547
dc.language English
dc.language.iso EN en_US
dc.publisher IEEE en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.title An infrastructure for indexing and organizing best practices en_US
dc.type Conference Paper en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.publisher.place USA en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofconferenceLocation Minneapolis, USA en_US
unsw.relation.ispartofconferenceName 2nd International workshop on Realising evidence-based software engineering 2007 en_US
unsw.relation.ispartofconferenceProceedingsTitle Realising evidence-based software engineering 2007 en_US
unsw.relation.ispartofconferenceYear 2007 en_US
unsw.relation.originalPublicationAffiliation Zhu, Liming, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Staples, Mark, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Gorton, Ian en_US
unsw.relation.school School of Computer Science and Engineering *
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