Show simple item record

dc.contributor.authorRobbes R
dc.contributor.authorKamei Y
dc.contributor.authorPinzger M
dc.date.accessioned2018-05-17T12:27:37Z
dc.date.available2018-05-17T12:27:37Z
dc.date.issued2017
dc.identifier.issn1382-3256
dc.identifier.urihttp://dx.doi.org/10.1007/s10664-017-9527-z
dc.identifier.urihttps://link.springer.com/article/10.1007/s10664-017-9527-z
dc.identifier.urihttp://hdl.handle.net/10863/4661
dc.description.abstractThe Mining Software Repositories (MSR) field analyzes the rich data available in software repositories to uncover interesting and actionable information about software systems and projects. Some commonly explored areas include software evolution, models of software development processes, characterization of developers and their activities, prediction of future software qualities, use of machine learning techniques on software project data, software bug prediction, analysis of software change patterns, and analysis of code clones. This special issue provides five recent MSR regular research papers, and, for the first time in the Journal of Empirical Software Engineering, three data showcase papers. Each of these data showcase papers describe at length a valuable Software Engineering dataset, in the hope that it allows prospective users of these datasets a smooth start with them. In the following, we first introduce the five regular research papers and then the three data showcase papers.en_US
dc.language.isoenen_US
dc.publisherSpringer New York LLCen_US
dc.rights
dc.titleGuest Editorial: Mining software repositoriesen_US
dc.typeOtheren_US
dc.date.updated2018-05-15T12:08:10Z
dc.language.isiEN-GB
dc.journal.titleEmpirical Software Engineering
dc.description.fulltextnoneen_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record