Visual patterns in software process data

Title

Visual patterns in software process data

 Author

Knab, P.
Pinzger, M.
Gall, H.C.

Faculty

Electrical Engineering, Mathematics and Computer Science

 Department

Software Technology

 Date

2010-12-31

 Abstract

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. Preprint accepted for publication in Proceedings of the International Conference on Software Process (ICSP), Beijing (China), 24-28 Oct., 2010, Springer.

 To reference this document use:

http://resolver.tudelft.nl/uuid:8c4a6be7-cfd7-4f2f-b8e5-d2a09a0cf228

 Publisher

Delft University of Technology, Software Engineering Research Group

 ISSN

1872-5392

 Source

Technical Report Series TUD-SERG-2010-016

 Part of collection

Institutional Repository

 Document type

report

 Rights

© 2010 The Author(s) . Software Engineering Research Group, Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology
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