Visual patterns in software process data
Year: 2010
Type: report
Abstract: . Software development teams gather valuable data about fea-tures 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 ex-traordinary capability of the human brain to detect visual patterns. We specify generic visual process patterns that can be found in issue track-ing 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 in-stances 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. 1
Authors: Patrick Knab, Martin Pinzger, Harald Gall
Institutions: University of Zurich, Delft University of Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W360198104