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dc.contributor.authorCapiluppi, A-
dc.contributor.authorSerebrenik, A-
dc.contributor.authorSinger, L-
dc.identifier.citationIEEE Software, 30(1): 45-51, Jan 2013en_US
dc.descriptionThis is the pre-print version of this Article. The official published version can be accessed from the link below - Copyright @ 2012 IEEEen_US
dc.description.abstractThe Social Web provides comprehensive and publicly available information about software developers: they can be identified as contributors to open source projects, as experts at maintaining weak ties on social network sites, or as active participants to knowledge sharing sites. These signals, when aggregated and summarized, could be used to define individual profiles of potential candidates: job seekers, even if lacking a formal degree or changing their career path, could be qualitatively evaluated by potential employers through their online contributions. At the same time, developers are aware of the Web’s public nature and the possible uses of published information when they determine what to share with the world. Some might even try to manipulate public signals of technical qualifications, soft skills, and reputation in their favor. Assessing candidates on the Web for technical positions presents challenges to recruiters and traditional selection procedures; the most serious being the interpretation of the provided signals. Through an in-depth discussion, we propose guidelines for software engineers and recruiters to help them interpret the value and trouble with the signals and metrics they use to assess a candidate’s characteristics and skills.en_US
dc.subjectCollaborative computingen_US
dc.subjectGroup and organization interfacesen_US
dc.subjectInformation interfaces and representation (HCI)en_US
dc.subjectKnowledge retrievalen_US
dc.subjectKnowledge managementen_US
dc.titleAssessing technical candidates on the social weben_US
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Centre for Information and Knowledge Management-
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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