Mining developer communication streams

Simple item page
aut.conference.typePaper Published in Proceedings
aut.relation.endpage25
aut.relation.startpage13
aut.researcherConnor, Andrew Miles
dc.contributor.authorConnor, AM
dc.contributor.authorFinlay, J.A.
dc.contributor.authorPears, R
dc.contributor.editorWyld, DC
dc.contributor.editorMeghanathan, N
dc.contributor.editorNagamali, D
dc.date.accessioned2014-04-10T07:49:52Z
dc.date.available2014-04-10T07:49:52Z
dc.date.copyright2014-03-03
dc.date.issued2014-03-03
dc.description.abstractThis paper explores the concepts of modelling a software development project as a process that results in the creation of a continuous stream of data. In terms of the Jazz repository used in this research, one aspect of that stream of data would be developer communication. Such data can be used to create an evolving social network characterized by a range of metrics. This paper presents the application of data stream mining techniques to identify the most useful metrics for predicting build outcomes. Results are presented from applying the Hoeffding Tree classification method used in conjunction with the Adaptive Sliding Window (ADWIN) method for detecting concept drift. The results indicate that only a small number of the available metrics considered have any significance for predicting the outcome of a build.
dc.identifier.citationFourth International Conference on Computer Science & Information Technology held at Pullman Hotel, Sydney, 2014-02-21 to 2014-02-22, published in: CS & IT-CSCP 2014, pp.13 - 25
dc.identifier.isbn978-1-921987-27-4
dc.identifier.issn2231-5403
dc.identifier.urihttps://hdl.handle.net/10292/7077
dc.publisherAcademy & Industry Research Collaboration Center (AIRCC) Publishing Corporation
dc.relation.urihttp://airccj.org/CSCP/vol4/csit41902.pdf
dc.rightsComputer Science & Information Technology (CS & IT) is an open access-Computer Science Conference Proceedings (CSCP) series that welcomes conferences to publish their proceedings / post conference proceedings.
dc.rights.accessrightsOpenAccess
dc.subjectData mining
dc.subjectData stream mining
dc.subjectHoeffding Tree
dc.subjectAdaptive sliding window
dc.subjectJazz
dc.titleMining developer communication streams
dc.typeConference Contribution
pubs.elements-id163594
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/Interdisplinary Unit
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Mining developer communcation.pdf
Size:
232 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
licence.htm
Size:
30.34 KB
Format:
Unknown data format
Description:
Download
Collections
SERL - Software Engineering Research Laboratory