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Research Preview: Automatic Data Categorization in Issue Tracking Systems

  • Issues in an issue tracking system contain different kinds of information like requirements, features, development tasks, bug reports, bug fixing tasks, refactoring tasks and so on. This information is generally accompanied by discussions or comments, which again are different kinds of information (e.g. social interaction, implementation ideas, stack traces or error messages). We propose to improve automatic categorization of this information and use the categorized data to support software engineering tasks. We want to obtain improvements in two different ways. Firstly, we want to obtain algorithmic improvements (e.g. natural language processing techniques) to retrieve and use categorized auxiliary data. Secondly we want to utilize multiple task-based categorizations to support different software engineering tasks.

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Metadaten
Document Type:Conference Object
Language:English
Author:Thorsten Merten, Barbara Paech
Parent Title (English):Horbach (Hg.): INFORMATIK 2013. Informatik angepasst an Mensch, Organisation und Umwelt. Tagung vom 16.-20. September 2013 in Koblenz. Lecture Notes in Informatics, Vol. P-220
First Page:128
Last Page:130
ISBN:978-3-88579-614-5
URL:https://subs.emis.de/LNI/Proceedings/Proceedings220/article189.html
Publisher:Gesellschaft für Informatik
Place of publication:Bonn
Publication year:2013
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2016/02/16