eprintid: 24186
rev_number: 21
eprint_status: archive
userid: 3648
dir: disk0/00/02/41/86
datestamp: 2018-03-08 15:58:19
lastmod: 2019-04-25 11:12:32
status_changed: 2018-03-08 15:58:19
type: conferenceObject
metadata_visibility: show
creators_name: Kleebaum, Anja
creators_name: Johanssen, Jan Ole
creators_name: Paech, Barbara
creators_name: Bruegge, Bernd
title: Tool Support for Decision and Usage Knowledge in Continuous Software Engineering
subjects: 004
divisions: 110300
pres_type: paper
keywords: continuous software engineering, decision knowledge, knowledge management, usage knowledge
cterms_swd: Wissensmanagement
abstract: Continuous software engineering copes with frequent changes and quickly evolving development projects while maintaining a high software quality. Developers require knowledge about former and ongoing decisions as well as about the users' needs to evolve software. Thus, decision and usage knowledge are two important knowledge types in continuous software engineering. Issue tracking and version control systems are widely used in continuous software engineering but lack a structured approach to integrate decision and usage knowledge. In this paper, we present ideas and requirements for a tool support to manage decision and usage knowledge in continuous software engineering. As a first step, we introduce the JIRA DecDoc plug-in for documenting decision knowledge.
date: 2018-03-06
publisher: CEUR-WS.org
id_scheme: DOI
id_number: 10.11588/heidok.00024186
ppn_swb: 1654774375 (K10+)
own_urn: urn:nbn:de:bsz:16-heidok-241863
language: eng
bibsort: KLEEBAUMANTOOLSUPPOR20180306
full_text_status: public
place_of_pub: Aachen
pagerange: 74-77
pages: 4
event_title: 3rd Workshop on Continuous Software Engineering : Software Engineering Workshops 2018
event_location: Ulm
event_dates: 06.03.2018
citation:   Kleebaum, Anja ; Johanssen, Jan Ole ; Paech, Barbara ; Bruegge, Bernd  (2018) Tool Support for Decision and Usage Knowledge in Continuous Software Engineering.  [Conference Item]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/24186/1/CSE_2018_camera_ready.pdf