%0 Generic
%A Kleebaum, Anja
%A Paech, Barbara
%A Johanssen, Jan Ole
%A Bruegge, Bernd
%D 2021
%F heidok:29966
%I CEUR-WS.org
%K Rationale Management, Decision Knowledge, Text Classification, Natural Language Processing, ConDec
%R 10.11588/heidok.00029966
%T Continuous Rationale Identification in Issue Tracking and Version Control Systems
%U https://archiv.ub.uni-heidelberg.de/volltextserver/29966/
%X During the elicitation and implementation of requirements, the involved stakeholders make decisions and build up important decision knowledge, which they should make explicit and share. Issue tracking and version control systems offer opportunities for a lightweight capture of decision knowledge but currently lack techniques for making this knowledge explicit.     In this paper, we present techniques to make decision knowledge explicit in the text of issue tracking and version control systems. We present features for its manual documentation as well as for its automatic identification using a text classifier. The text classifier identifies implicit decision knowledge in natural language texts, in particular, in the description and comments of tickets in the issue tracking system and commit messages.