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Applying Self-Adaptation to Automate the Management of Online Documentation of Telecom Systems
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). KU Leuven, Austria.ORCID-id: 0000-0002-1162-0817
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). (DISA ; DSIQ)ORCID-id: 0000-0003-1173-5187
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). (DISA ; DSIQ)ORCID-id: 0000-0002-7565-3714
Ericsson AB.
Vise andre og tillknytning
2018 (engelsk)Inngår i: 14th International Conference on Automation Science and Engineering (CASE): Munich, Germany, August 20-24, 2018, IEEE, 2018, s. 1375-1380Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Engineering software-intensive systems, such as production systems, is complex as these systems are subject to various types of changes that are often difficult to anticipate before deployment. Tackling this complexity requires joint expertise from different backgrounds. In this paper we focus on the problem of maintaining online technical documentation of telecom systems. In the context of continuous deployment and ever-changing user needs, high quality of the documentation of such products is in a key concern of users. To tackle this problem, different experts worked together equipping the online documentation system with a feedback loop. This feedback loop tracks changes in the system and its context and automatically adapts the documentation accordingly. The results demonstrate that this self-adaptation approach offers a viable solution to tackle the maintainability problem of online documentation of telecom systems.

sted, utgiver, år, opplag, sider
IEEE, 2018. s. 1375-1380
HSV kategori
Forskningsprogram
Datavetenskap, Programvaruteknik
Identifikatorer
URN: urn:nbn:se:lnu:diva-80973DOI: 10.1109/COASE.2018.8560502ISBN: 978-1-5386-3593-3 (digital)OAI: oai:DiVA.org:lnu-80973DiVA, id: diva2:1293940
Konferanse
14th International Conference on Automation Science and Engineering (CASE), Munich, Germany, August 20-24, 2018
Forskningsfinansiär
Knowledge Foundation, 20150088Tilgjengelig fra: 2019-03-05 Laget: 2019-03-05 Sist oppdatert: 2019-03-14bibliografisk kontrollert

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