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Visual patterns in issue tracking data


Knab, P; Pinzger, M; Gall, H C (2010). Visual patterns in issue tracking data. In: International Conference on Software Process, Paderborn, Germany, 8 July 2010 - 9 July 2010, 222-233.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:9 July 2010
Deposited On:22 Feb 2011 16:05
Last Modified:12 Aug 2017 05:23
Series Name:Lecture Notes in Computer Science
Free access at:Related URL. An embargo period may apply.
Related URLs:http://www.ifi.uzh.ch/pax/index.php/publication/show/id/1429 (Author)

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