Wermelinger, Michel; Yu, Yijun and Strohmaier, Markus
(2009).
![[img]](http://oro.open.ac.uk/style/images/fileicons/application_pdf.png)
|
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (187kB) |
| URL: | http://www.cs.uoregon.edu/events/icse2009/home/ |
|---|---|
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1109/ICSE-COMPANION.2009.5071013 |
| Google Scholar: | Look up in Google Scholar |
Abstract
Interest in the human aspects of software engineering has grown in the past years. For example, based on activity logs in software artefact repositories, researchers are recommending who should fix a bug for a certain component. However, existing work largely follows ad-hoc approaches to relate software artefacts to developers and rarely makes those socio-technical relations explicit in a single structure. In this paper we propose a novel application of formal concept analysis, in order to overcome those deficiencies. As a case study, we construct and visualise different views of the developers who fix and discuss bugs in the Eclipse project.
| Item Type: | Conference or Workshop Item |
|---|---|
| Copyright Holders: | 2009 IEEE |
| Extra Information: | Appears in Proceedings of the 31st International Conference on Software Engineering, Companion Volume, pp 327-330 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) Centre for Policing Research and Learning (CPRL) |
| Related URLs: |
|
| Item ID: | 13074 |
| Depositing User: | Michel Wermelinger |
| Date Deposited: | 19 Jun 2009 13:33 |
| Last Modified: | 26 Jan 2017 06:42 |
| URI: | http://oro.open.ac.uk/id/eprint/13074 |
| Share this page: |     |
Altmetrics | Scopus Citations |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.