
This dataset contains bug reports for key Eclipse projects. It has been updated to reflect the latest available data and is suitable for: software engineering research, applying mining software repositories techniques, bug prediction, classification, triage, and related studies on highly configurable systems. Projects Covered Project Number of issues Platform 122.497 JDT 63.266 CDT 23.371 BIRT 23.308 PDE 17.639 Equinox 14.559 Mylyn 13.906 TPTP 10.579 Papyrus 13.253 Contains the next attributes: Issue URL,ID,Alias,Classification,Component,Product,Version,Platform,Op sys,Status,Resolution,Depends on,Dupe of,Blocks,Groups,Flags,Severity,Priority,Deadline,Target Milestone,Creator,Creator Detail,Creation time,Assigned to,Assigned to detail,CC,CC detail,Is CC accessible,Is confirmed,Is open,Is creator accessible,Summary,Description,URL,Whiteboard,Keywords,See also,Last change time,QA contact,History/Activity Log,Comments,Attachments. All the information about these attributes can be found at Bugzilla's API documentation This dataset was obtained using the Issuex tool, available at Github: https://github.com/diverso-lab/Issuex
Eclipse Project, Bugzilla, Eclipse, Dataset
Eclipse Project, Bugzilla, Eclipse, Dataset
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
