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Investigating patterns and task type correlations in open source

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dc.contributor.author O'Shea, Pamela
dc.contributor.author Exton, Chris
dc.date.accessioned 2012-05-09T11:18:40Z
dc.date.available 2012-05-09T11:18:40Z
dc.date.issued 2004
dc.identifier.uri http://hdl.handle.net/10344/2156
dc.description peer-reviewed en_US
dc.description.abstract This paper describes an investigation using data from a number of open source mailing lists. A methodology is described that details the procedure used to extract program summaries posted to mailing lists by experienced programmers as well as the type of analysis involved. The data are analyzed for patterns and correlations between task type and the program comprehension scheme categories used. When compared to laboratory style empirical studies, an advantage is gained allowing stronger ecological valid insights into programmer comprehension en_US
dc.language.iso eng en_US
dc.publisher Proc. PPIG 16 en_US
dc.relation.ispartofseries Proc. PPIG 16; pp 185-192
dc.subject POP-II, POP-III, POP-V, Content Analysis, Program Comprehension, Abstraction, Software en_US
dc.title Investigating patterns and task type correlations in open source en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor SFI en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess


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