https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Similarities and Overlaps in Operational Scenarios - A Study of Legacy Industrial Products in the Railway Vehicle Domain
Alstom, Vasteras, Sweden..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Malardalen Univ, Vasteras, Sweden..ORCID iD: 0000-0002-8461-0230
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2416-4205
Alstom, Vasteras, Sweden..
2024 (English)In: 2024 50TH EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS, SEAA 2024, IEEE , 2024, p. 469-474Conference paper, Published paper (Refereed)
Abstract [en]

When seeking to enhance reuse, industrial enterprises delivering complex electro-mechanical products to large global customers face various technical challenges in their engineering practice. Many challenges are due to the many-faceted and rich variability that naturally arises in such a context. We focus our attention on the requirements engineering process. This paper presents the results from a case study investigating reuse potential by analyzing legacy use cases and scenarios data for six selected railway vehicle products for customers in three product segments and on two main markets. Through our analysis, fifteen scenario clusters were identified, covering 74% of all scenarios in the products. We also found a significant overlap between products in 13 of the clusters and a considerable variation in the degrees of overlap in the clusters. We initially anticipated that this overlap would align with the product segments, but our results suggest otherwise.

Place, publisher, year, edition, pages
IEEE , 2024. p. 469-474
Series
Euromicro Conference on Software Engineering and Advanced Applications, ISSN 2640-592X
Keywords [en]
Operational Scenario, Use Case, Domain analysis, Reuse, Empirical study, Industry
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-70566DOI: 10.1109/SEAA64295.2024.00078ISI: 001413352200068ISBN: 9798350380279 (print)OAI: oai:DiVA.org:mdh-70566DiVA, id: diva2:1948597
Conference
50th Euromicro Conference on Software Engineering and Advanced Applications, AUG 28-30, 2024, Paris, FRANCE
Available from: 2025-03-31 Created: 2025-03-31 Last updated: 2025-10-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Carlson, JanEnoiu, Eduard Paul

Search in DiVA

By author/editor
Carlson, JanEnoiu, Eduard Paul
By organisation
Embedded Systems
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 55 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf