"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates" "uuid:8c4a6be7-cfd7-4f2f-b8e5-d2a09a0cf228","http://resolver.tudelft.nl/uuid:8c4a6be7-cfd7-4f2f-b8e5-d2a09a0cf228","Visual patterns in software process data","Knab, P.; Pinzger, M.; Gall, H.C.","","2010","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.","","en","report","Delft University of Technology, Software Engineering Research Group","","","","","","","","Electrical Engineering, Mathematics and Computer Science","Software Technology","","","",""