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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Visual patterns in issue tracking data |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | 222 - 233 |
| Event Title | International Conference on Software Process |
| Event Type | conference |
| Event Location | Paderborn, Germany |
| Event Start Date | July 8 - 2010 |
| Event End Date | July 9 - 2010 |
| Series Name | Lecture Notes in Computer Science |
| Abstract Text | Software development teams gather valuable data about features and bugs in issue tracking systems. This information can be used to measure and improve the efficiency and effectiveness of the development process. In this paper we present an approach that harnesses the extraordinary capability of the human brain to detect visual patterns. We specify generic visual process patterns that can be found in issue tracking data. With these patterns we can analyze information about effort estimation, and the length, and sequence of problem resolution activities. In an industrial case study we apply our interactive tool to identify instances of these patterns and discuss our observations. Our approach was validated through extensive discussions with multiple project managers and developers, as well as feedback from the project review board. |
| Free access at | Related URL |
| Digital Object Identifier | 10.1007/978-3-642-14347-2_20 |
| Other Identification Number | merlin-id:50 |
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